Overview

Brought to you by YData

Dataset statistics

Number of variables81
Number of observations46761
Missing cells2598990
Missing cells (%)68.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 MiB
Average record size in memory648.0 B

Variable types

Categorical30
Text5
Unsupported37
Numeric7
DateTime2

Alerts

Programm has constant value "C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire"Constant
Seiretöö nimetus has constant value "Metsaseire 2022 a"Constant
Vastutav partner has constant value "Keskkonnaagentuur"Constant
Vastutav isik has constant value "Vladislav Apuhtin"Constant
Alamgrupp has constant value "Metallid"Constant
Vaatlusgrupp has constant value "Visuaalne puude võra seisundi hindamine"Constant
Väärtuse staatus has constant value "Kehtiv"Constant
Erimärk has constant value "<"Constant
Väärtuse täpsustus has constant value " - "Constant
Analüüsimeetodi allikas has constant value "Vee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga."Constant
Mullaproov has constant value "Kihist"Constant
Analüüsi aeg is highly overall correlated with Mullahorisont and 7 other fieldsHigh correlation
Analüüsimeetodi standard is highly overall correlated with Analüüsimeetodi nimetus and 10 other fieldsHigh correlation
Analüüsimeetodi nimetus is highly overall correlated with Analüüsimeetodi standard and 12 other fieldsHigh correlation
Analüüsimeetodi tööjuhendi nr is highly overall correlated with Analüüsimeetodi nimetus and 18 other fieldsHigh correlation
Arvväärtus is highly overall correlated with Analüüsimeetodi tööjuhendi nr and 5 other fieldsHigh correlation
Liik/takson (est) is highly overall correlated with Analüüsimeetodi standard and 11 other fieldsHigh correlation
Liik/takson (lad) is highly overall correlated with Analüüsimeetodi standard and 11 other fieldsHigh correlation
Mullahorisont is highly overall correlated with Analüüsi aeg and 7 other fieldsHigh correlation
Mullaproovi sügavus is highly overall correlated with Analüüsi aeg and 7 other fieldsHigh correlation
Mõõdetud arvväärtus is highly overall correlated with Analüüsimeetodi tööjuhendi nr and 5 other fieldsHigh correlation
Mõõdetud väärtuse ühik is highly overall correlated with Analüüsimeetodi standard and 9 other fieldsHigh correlation
Näitaja grupp is highly overall correlated with Analüüsimeetodi standard and 9 other fieldsHigh correlation
Näitaja lühend is highly overall correlated with Analüüsimeetodi standard and 11 other fieldsHigh correlation
Proovi liik is highly overall correlated with Analüüsi aeg and 20 other fieldsHigh correlation
Proovimaatriks is highly overall correlated with Analüüsi aeg and 17 other fieldsHigh correlation
Prooviprotokolli / vaatluslehe nr is highly overall correlated with Analüüsi aeg and 9 other fieldsHigh correlation
Proovivõtja / vaatlejad is highly overall correlated with Analüüsi aeg and 13 other fieldsHigh correlation
Proovivõtumeetodi nimetus is highly overall correlated with Analüüsi aeg and 12 other fieldsHigh correlation
Seirekoha staatus is highly overall correlated with Analüüsi aeg and 3 other fieldsHigh correlation
Seirekoha x L-EST97 is highly overall correlated with Analüüsimeetodi tööjuhendi nr and 4 other fieldsHigh correlation
Seirekoha y L-EST97 is highly overall correlated with Analüüsimeetodi tööjuhendi nr and 3 other fieldsHigh correlation
Sisestatud liik (lad) is highly overall correlated with Analüüsimeetodi standard and 11 other fieldsHigh correlation
Sisestatud x L-EST97 is highly overall correlated with Analüüsimeetodi tööjuhendi nr and 4 other fieldsHigh correlation
Sisestatud y L-EST97 is highly overall correlated with Analüüsimeetodi tööjuhendi nr and 3 other fieldsHigh correlation
Vaatleja EELIS ID is highly overall correlated with Arvväärtus and 4 other fieldsHigh correlation
Väärtuse ühik is highly overall correlated with Analüüsimeetodi standard and 9 other fieldsHigh correlation
Seirekoha staatus is highly imbalanced (82.1%)Imbalance
Näitaja grupp is highly imbalanced (76.9%)Imbalance
Liik/takson (est) is highly imbalanced (59.9%)Imbalance
Liik/takson (lad) is highly imbalanced (59.9%)Imbalance
Sisestatud liik (lad) is highly imbalanced (59.9%)Imbalance
Jahipiirkonna peamine maakond has 46761 (100.0%) missing valuesMissing
Seotud seirejaama KKR has 46761 (100.0%) missing valuesMissing
Seotud seirejaama nimi has 46761 (100.0%) missing valuesMissing
Seotud seirejaama x L-EST97 has 46761 (100.0%) missing valuesMissing
Seotud seirejaama y L-EST97 has 46761 (100.0%) missing valuesMissing
Veekogu KKR has 46761 (100.0%) missing valuesMissing
Veekogu nimi has 46761 (100.0%) missing valuesMissing
Seirekogumi kood has 46761 (100.0%) missing valuesMissing
Seirekogumi nimi has 46761 (100.0%) missing valuesMissing
Veekogumi tüüp has 46761 (100.0%) missing valuesMissing
Puuraugu KKR has 46761 (100.0%) missing valuesMissing
Põhjaveekiht has 46761 (100.0%) missing valuesMissing
Näitaja lühend has 41984 (89.8%) missing valuesMissing
Alamgrupp has 46043 (98.5%) missing valuesMissing
Liik/takson (est) has 5777 (12.4%) missing valuesMissing
Liik/takson (lad) has 5777 (12.4%) missing valuesMissing
Sisestatud liik (lad) has 5777 (12.4%) missing valuesMissing
Isendi nr has 46761 (100.0%) missing valuesMissing
Liigi kategooria has 46761 (100.0%) missing valuesMissing
Prooviprotokolli / vaatluslehe nr has 41064 (87.8%) missing valuesMissing
Proovi / vaatluse kirjeldus has 46761 (100.0%) missing valuesMissing
Vaatleja EELIS ID has 5697 (12.2%) missing valuesMissing
Labori dok. nr has 46761 (100.0%) missing valuesMissing
Analüüsi aeg has 44503 (95.2%) missing valuesMissing
Analüüsi teostaja has 46761 (100.0%) missing valuesMissing
Seireaja lõpp has 41064 (87.8%) missing valuesMissing
Seireaja täpsustus has 46761 (100.0%) missing valuesMissing
Seotud vaatlus has 46761 (100.0%) missing valuesMissing
Proovi sügavus (m) has 46761 (100.0%) missing valuesMissing
Vaatlusgrupp has 5697 (12.2%) missing valuesMissing
Proovivõtumeetodi nimetus has 41064 (87.8%) missing valuesMissing
Proovivõtumeetodi standard has 46761 (100.0%) missing valuesMissing
Proovivõtumeetodi proovivõtu sügavus has 46761 (100.0%) missing valuesMissing
Proovi liik has 41064 (87.8%) missing valuesMissing
Proovivõtuseade has 46761 (100.0%) missing valuesMissing
Proovimaatriks has 41064 (87.8%) missing valuesMissing
Püügivahendi silmasuurus has 46761 (100.0%) missing valuesMissing
Osa saagist has 46761 (100.0%) missing valuesMissing
Püügireisi nr has 46761 (100.0%) missing valuesMissing
Traali tõmbe nr has 46761 (100.0%) missing valuesMissing
Traali tõmbe kestvus has 46761 (100.0%) missing valuesMissing
Kordsus has 46761 (100.0%) missing valuesMissing
Seireala pindala has 46761 (100.0%) missing valuesMissing
Erimärk has 46470 (99.4%) missing valuesMissing
Mõõdetud arvväärtus has 31932 (68.3%) missing valuesMissing
Mõõdetud määramistäpsus has 46761 (100.0%) missing valuesMissing
Määramispiir has 46761 (100.0%) missing valuesMissing
Mõõtemääramatus has 46761 (100.0%) missing valuesMissing
Määramatuse kommentaar has 46761 (100.0%) missing valuesMissing
Arvväärtus has 31932 (68.3%) missing valuesMissing
Mõõdetud väärtuse ühik has 33705 (72.1%) missing valuesMissing
Väärtuse ühik has 33705 (72.1%) missing valuesMissing
Väärtus (muud) has 14829 (31.7%) missing valuesMissing
Mõõtmata has 46761 (100.0%) missing valuesMissing
Viimane kommentaar väärtuse juures has 46761 (100.0%) missing valuesMissing
Analüüsimeetodi standard has 41403 (88.5%) missing valuesMissing
Analüüsimeetodi nimetus has 41343 (88.4%) missing valuesMissing
Analüüsimeetodi tööjuhendi nr has 46701 (99.9%) missing valuesMissing
Analüüsimeetodi allikas has 46729 (99.9%) missing valuesMissing
Meetodi täpsustus has 46761 (100.0%) missing valuesMissing
Mullaproov has 44503 (95.2%) missing valuesMissing
Mullahorisont has 44503 (95.2%) missing valuesMissing
Mullaproovi sügavus has 44503 (95.2%) missing valuesMissing
Mõõdetud arvväärtus is highly skewed (γ1 = 37.7054994)Skewed
Jahipiirkonna peamine maakond is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seotud seirejaama KKR is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seotud seirejaama nimi is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seotud seirejaama x L-EST97 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seotud seirejaama y L-EST97 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Veekogu KKR is an unsupported type, check if it needs cleaning or further analysisUnsupported
Veekogu nimi is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seirekogumi kood is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seirekogumi nimi is an unsupported type, check if it needs cleaning or further analysisUnsupported
Veekogumi tüüp is an unsupported type, check if it needs cleaning or further analysisUnsupported
Puuraugu KKR is an unsupported type, check if it needs cleaning or further analysisUnsupported
Põhjaveekiht is an unsupported type, check if it needs cleaning or further analysisUnsupported
Isendi nr is an unsupported type, check if it needs cleaning or further analysisUnsupported
Liigi kategooria is an unsupported type, check if it needs cleaning or further analysisUnsupported
Proovi / vaatluse kirjeldus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Labori dok. nr is an unsupported type, check if it needs cleaning or further analysisUnsupported
Analüüsi teostaja is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seireaja täpsustus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seotud vaatlus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Proovi sügavus (m) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Proovivõtumeetodi standard is an unsupported type, check if it needs cleaning or further analysisUnsupported
Proovivõtumeetodi proovivõtu sügavus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Proovivõtuseade is an unsupported type, check if it needs cleaning or further analysisUnsupported
Püügivahendi silmasuurus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Osa saagist is an unsupported type, check if it needs cleaning or further analysisUnsupported
Püügireisi nr is an unsupported type, check if it needs cleaning or further analysisUnsupported
Traali tõmbe nr is an unsupported type, check if it needs cleaning or further analysisUnsupported
Traali tõmbe kestvus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Kordsus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Seireala pindala is an unsupported type, check if it needs cleaning or further analysisUnsupported
Mõõdetud määramistäpsus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Määramispiir is an unsupported type, check if it needs cleaning or further analysisUnsupported
Mõõtemääramatus is an unsupported type, check if it needs cleaning or further analysisUnsupported
Määramatuse kommentaar is an unsupported type, check if it needs cleaning or further analysisUnsupported
Mõõtmata is an unsupported type, check if it needs cleaning or further analysisUnsupported
Viimane kommentaar väärtuse juures is an unsupported type, check if it needs cleaning or further analysisUnsupported
Meetodi täpsustus is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-09-13 15:31:54.883699
Analysis finished2024-09-13 15:32:01.129394
Duration6.25 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

Programm
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire
46761 

Length

Max length243
Median length243
Mean length243
Min length243

Characters and Unicode

Total characters11362923
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire
2nd rowC1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire
3rd rowC1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire
4th rowC1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire
5th rowC1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire

Common Values

ValueCountFrequency (%)
C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seire 46761
100.0%

Length

2024-09-13T18:32:01.158878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:01.197748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
seire 233805
 
13.5%
ja 187044
 
10.8%
seisundi 93522
 
5.4%
kahjustuste 93522
 
5.4%
hindamine 93522
 
5.4%
aste 93522
 
5.4%
võra 93522
 
5.4%
okaste 46761
 
2.7%
ss 46761
 
2.7%
metsamulla 46761
 
2.7%
Other values (15) 701415
40.5%

Most occurring characters

ValueCountFrequency (%)
1683396
14.8%
e 1683396
14.8%
s 1169025
10.3%
a 1028742
 
9.1%
i 701415
 
6.2%
t 654654
 
5.8%
r 467610
 
4.1%
u 420849
 
3.7%
, 327327
 
2.9%
d 327327
 
2.9%
Other values (20) 2899182
25.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11362923
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1683396
14.8%
e 1683396
14.8%
s 1169025
10.3%
a 1028742
 
9.1%
i 701415
 
6.2%
t 654654
 
5.8%
r 467610
 
4.1%
u 420849
 
3.7%
, 327327
 
2.9%
d 327327
 
2.9%
Other values (20) 2899182
25.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11362923
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1683396
14.8%
e 1683396
14.8%
s 1169025
10.3%
a 1028742
 
9.1%
i 701415
 
6.2%
t 654654
 
5.8%
r 467610
 
4.1%
u 420849
 
3.7%
, 327327
 
2.9%
d 327327
 
2.9%
Other values (20) 2899182
25.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11362923
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1683396
14.8%
e 1683396
14.8%
s 1169025
10.3%
a 1028742
 
9.1%
i 701415
 
6.2%
t 654654
 
5.8%
r 467610
 
4.1%
u 420849
 
3.7%
, 327327
 
2.9%
d 327327
 
2.9%
Other values (20) 2899182
25.5%

Seiretöö nimetus
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Metsaseire 2022 a
46761 

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters794937
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMetsaseire 2022 a
2nd rowMetsaseire 2022 a
3rd rowMetsaseire 2022 a
4th rowMetsaseire 2022 a
5th rowMetsaseire 2022 a

Common Values

ValueCountFrequency (%)
Metsaseire 2022 a 46761
100.0%

Length

2024-09-13T18:32:01.240470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:01.272013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
metsaseire 46761
33.3%
2022 46761
33.3%
a 46761
33.3%

Most occurring characters

ValueCountFrequency (%)
e 140283
17.6%
2 140283
17.6%
s 93522
11.8%
a 93522
11.8%
93522
11.8%
M 46761
 
5.9%
t 46761
 
5.9%
i 46761
 
5.9%
r 46761
 
5.9%
0 46761
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 140283
17.6%
2 140283
17.6%
s 93522
11.8%
a 93522
11.8%
93522
11.8%
M 46761
 
5.9%
t 46761
 
5.9%
i 46761
 
5.9%
r 46761
 
5.9%
0 46761
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 140283
17.6%
2 140283
17.6%
s 93522
11.8%
a 93522
11.8%
93522
11.8%
M 46761
 
5.9%
t 46761
 
5.9%
i 46761
 
5.9%
r 46761
 
5.9%
0 46761
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 140283
17.6%
2 140283
17.6%
s 93522
11.8%
a 93522
11.8%
93522
11.8%
M 46761
 
5.9%
t 46761
 
5.9%
i 46761
 
5.9%
r 46761
 
5.9%
0 46761
 
5.9%

Vastutav partner
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Keskkonnaagentuur
46761 

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters794937
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKeskkonnaagentuur
2nd rowKeskkonnaagentuur
3rd rowKeskkonnaagentuur
4th rowKeskkonnaagentuur
5th rowKeskkonnaagentuur

Common Values

ValueCountFrequency (%)
Keskkonnaagentuur 46761
100.0%

Length

2024-09-13T18:32:01.306402image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:01.336832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
keskkonnaagentuur 46761
100.0%

Most occurring characters

ValueCountFrequency (%)
n 140283
17.6%
e 93522
11.8%
k 93522
11.8%
a 93522
11.8%
u 93522
11.8%
K 46761
 
5.9%
s 46761
 
5.9%
o 46761
 
5.9%
g 46761
 
5.9%
t 46761
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 140283
17.6%
e 93522
11.8%
k 93522
11.8%
a 93522
11.8%
u 93522
11.8%
K 46761
 
5.9%
s 46761
 
5.9%
o 46761
 
5.9%
g 46761
 
5.9%
t 46761
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 140283
17.6%
e 93522
11.8%
k 93522
11.8%
a 93522
11.8%
u 93522
11.8%
K 46761
 
5.9%
s 46761
 
5.9%
o 46761
 
5.9%
g 46761
 
5.9%
t 46761
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 140283
17.6%
e 93522
11.8%
k 93522
11.8%
a 93522
11.8%
u 93522
11.8%
K 46761
 
5.9%
s 46761
 
5.9%
o 46761
 
5.9%
g 46761
 
5.9%
t 46761
 
5.9%

Vastutav isik
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Vladislav Apuhtin
46761 

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters794937
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVladislav Apuhtin
2nd rowVladislav Apuhtin
3rd rowVladislav Apuhtin
4th rowVladislav Apuhtin
5th rowVladislav Apuhtin

Common Values

ValueCountFrequency (%)
Vladislav Apuhtin 46761
100.0%

Length

2024-09-13T18:32:01.369977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:01.401409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
vladislav 46761
50.0%
apuhtin 46761
50.0%

Most occurring characters

ValueCountFrequency (%)
l 93522
11.8%
a 93522
11.8%
i 93522
11.8%
V 46761
 
5.9%
d 46761
 
5.9%
s 46761
 
5.9%
v 46761
 
5.9%
46761
 
5.9%
A 46761
 
5.9%
p 46761
 
5.9%
Other values (4) 187044
23.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 93522
11.8%
a 93522
11.8%
i 93522
11.8%
V 46761
 
5.9%
d 46761
 
5.9%
s 46761
 
5.9%
v 46761
 
5.9%
46761
 
5.9%
A 46761
 
5.9%
p 46761
 
5.9%
Other values (4) 187044
23.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 93522
11.8%
a 93522
11.8%
i 93522
11.8%
V 46761
 
5.9%
d 46761
 
5.9%
s 46761
 
5.9%
v 46761
 
5.9%
46761
 
5.9%
A 46761
 
5.9%
p 46761
 
5.9%
Other values (4) 187044
23.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 794937
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 93522
11.8%
a 93522
11.8%
i 93522
11.8%
V 46761
 
5.9%
d 46761
 
5.9%
s 46761
 
5.9%
v 46761
 
5.9%
46761
 
5.9%
A 46761
 
5.9%
p 46761
 
5.9%
Other values (4) 187044
23.5%
Distinct100
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:01.520190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters467610
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSJA7863000
2nd rowSJA7863000
3rd rowSJA7863000
4th rowSJA7863000
5th rowSJA7863000
ValueCountFrequency (%)
sja9174000 1688
 
3.6%
sja7506000 1611
 
3.4%
sja4933000 1587
 
3.4%
sja1932000 1262
 
2.7%
sja1531000 1160
 
2.5%
sja7863000 1070
 
2.3%
sja4147000 699
 
1.5%
sja6238000 694
 
1.5%
sja0141000 685
 
1.5%
sja8426000 637
 
1.4%
Other values (90) 35668
76.3%
2024-09-13T18:32:01.715594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 158344
33.9%
S 46761
 
10.0%
J 46761
 
10.0%
A 46761
 
10.0%
2 23777
 
5.1%
3 22501
 
4.8%
4 19891
 
4.3%
1 19383
 
4.1%
6 18860
 
4.0%
9 17270
 
3.7%
Other values (3) 47301
 
10.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 467610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 158344
33.9%
S 46761
 
10.0%
J 46761
 
10.0%
A 46761
 
10.0%
2 23777
 
5.1%
3 22501
 
4.8%
4 19891
 
4.3%
1 19383
 
4.1%
6 18860
 
4.0%
9 17270
 
3.7%
Other values (3) 47301
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 467610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 158344
33.9%
S 46761
 
10.0%
J 46761
 
10.0%
A 46761
 
10.0%
2 23777
 
5.1%
3 22501
 
4.8%
4 19891
 
4.3%
1 19383
 
4.1%
6 18860
 
4.0%
9 17270
 
3.7%
Other values (3) 47301
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 467610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 158344
33.9%
S 46761
 
10.0%
J 46761
 
10.0%
A 46761
 
10.0%
2 23777
 
5.1%
3 22501
 
4.8%
4 19891
 
4.3%
1 19383
 
4.1%
6 18860
 
4.0%
9 17270
 
3.7%
Other values (3) 47301
 
10.1%
Distinct100
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:01.868794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length61
Median length60
Mean length12.712474
Min length1

Characters and Unicode

Total characters594448
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowII-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)
2nd rowII-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)
3rd rowII-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)
4th rowII-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)
5th rowII-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)
ValueCountFrequency (%)
metskond 8378
 
7.9%
kvartal 8378
 
7.9%
eraldis 7218
 
6.8%
lääne-virumaa 4369
 
4.1%
4 2048
 
1.9%
3 2028
 
1.9%
5 1975
 
1.9%
ii-1 1688
 
1.6%
sagadi 1688
 
1.6%
sg106 1688
 
1.6%
Other values (113) 67109
63.0%
2024-09-13T18:32:02.060249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 60750
 
10.2%
59806
 
10.1%
1 38079
 
6.4%
r 28842
 
4.9%
e 26420
 
4.4%
l 23747
 
4.0%
d 19604
 
3.3%
i 18679
 
3.1%
k 18343
 
3.1%
s 18343
 
3.1%
Other values (37) 281835
47.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 594448
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 60750
 
10.2%
59806
 
10.1%
1 38079
 
6.4%
r 28842
 
4.9%
e 26420
 
4.4%
l 23747
 
4.0%
d 19604
 
3.3%
i 18679
 
3.1%
k 18343
 
3.1%
s 18343
 
3.1%
Other values (37) 281835
47.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 594448
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 60750
 
10.2%
59806
 
10.1%
1 38079
 
6.4%
r 28842
 
4.9%
e 26420
 
4.4%
l 23747
 
4.0%
d 19604
 
3.3%
i 18679
 
3.1%
k 18343
 
3.1%
s 18343
 
3.1%
Other values (37) 281835
47.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 594448
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 60750
 
10.2%
59806
 
10.1%
1 38079
 
6.4%
r 28842
 
4.9%
e 26420
 
4.4%
l 23747
 
4.0%
d 19604
 
3.3%
i 18679
 
3.1%
k 18343
 
3.1%
s 18343
 
3.1%
Other values (37) 281835
47.4%

Jahipiirkonna peamine maakond
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seirekoha staatus
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Kehtiv
45499 
Arhiveeritud
 
1262

Length

Max length12
Median length6
Mean length6.1619298
Min length6

Characters and Unicode

Total characters288138
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKehtiv
2nd rowKehtiv
3rd rowKehtiv
4th rowKehtiv
5th rowKehtiv

Common Values

ValueCountFrequency (%)
Kehtiv 45499
97.3%
Arhiveeritud 1262
 
2.7%

Length

2024-09-13T18:32:02.130809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:02.165392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
kehtiv 45499
97.3%
arhiveeritud 1262
 
2.7%

Most occurring characters

ValueCountFrequency (%)
e 48023
16.7%
i 48023
16.7%
h 46761
16.2%
t 46761
16.2%
v 46761
16.2%
K 45499
15.8%
r 2524
 
0.9%
A 1262
 
0.4%
u 1262
 
0.4%
d 1262
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 288138
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 48023
16.7%
i 48023
16.7%
h 46761
16.2%
t 46761
16.2%
v 46761
16.2%
K 45499
15.8%
r 2524
 
0.9%
A 1262
 
0.4%
u 1262
 
0.4%
d 1262
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 288138
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 48023
16.7%
i 48023
16.7%
h 46761
16.2%
t 46761
16.2%
v 46761
16.2%
K 45499
15.8%
r 2524
 
0.9%
A 1262
 
0.4%
u 1262
 
0.4%
d 1262
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 288138
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 48023
16.7%
i 48023
16.7%
h 46761
16.2%
t 46761
16.2%
v 46761
16.2%
K 45499
15.8%
r 2524
 
0.9%
A 1262
 
0.4%
u 1262
 
0.4%
d 1262
 
0.4%

Seirekoha x L-EST97
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6501536.1
Minimum6383851.6
Maximum6606655.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:02.207911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6383851.6
5-th percentile6399418.8
Q16443542.2
median6494486.4
Q36560037
95-th percentile6604449.3
Maximum6606655.8
Range222804.21
Interquartile range (IQR)116494.77

Descriptive statistics

Standard deviation65973.042
Coefficient of variation (CV)0.010147301
Kurtosis-1.2206099
Mean6501536.1
Median Absolute Deviation (MAD)57317.552
Skewness0.069133455
Sum3.0401833 × 1011
Variance4.3524423 × 109
MonotonicityNot monotonic
2024-09-13T18:32:02.258949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6604449.254 1688
 
3.6%
6601467.293 1611
 
3.4%
6437168.837 1587
 
3.4%
6461853 1262
 
2.7%
6398199.9 1160
 
2.5%
6606457.21 1070
 
2.3%
6433312.556 699
 
1.5%
6476388.797 694
 
1.5%
6460972.201 685
 
1.5%
6460467.907 637
 
1.4%
Other values (90) 35668
76.3%
ValueCountFrequency (%)
6383851.623 512
1.1%
6387168.092 617
1.3%
6398199.9 1160
2.5%
6399418.768 432
 
0.9%
6400041.238 466
1.0%
6401497.481 485
1.0%
6401849.026 61
 
0.1%
6414035.59 502
1.1%
6416725.112 388
 
0.8%
6418035.337 435
 
0.9%
ValueCountFrequency (%)
6606655.834 430
 
0.9%
6606457.21 1070
2.3%
6605666.332 372
 
0.8%
6604449.254 1688
3.6%
6601467.293 1611
3.4%
6595710.9 187
 
0.4%
6593074.773 370
 
0.8%
6592798.214 364
 
0.8%
6585969.455 360
 
0.8%
6583019.13 441
 
0.9%

Seirekoha y L-EST97
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean598523.67
Minimum387377.07
Maximum733507.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:02.308310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum387377.07
5-th percentile437457.06
Q1548474.02
median615668.32
Q3647148.13
95-th percentile703250.39
Maximum733507.41
Range346130.34
Interquartile range (IQR)98674.11

Descriptive statistics

Standard deviation74571.232
Coefficient of variation (CV)0.12459195
Kurtosis0.38729355
Mean598523.67
Median Absolute Deviation (MAD)45535.715
Skewness-0.79948707
Sum2.7987565 × 1010
Variance5.5608687 × 109
MonotonicityNot monotonic
2024-09-13T18:32:02.361225image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
615668.3222 1688
 
3.6%
635922.3523 1611
 
3.4%
624825.0284 1587
 
3.4%
644252.861 1262
 
2.7%
650083.4751 1160
 
2.5%
620491.3303 1070
 
2.3%
661204.0367 699
 
1.5%
562858.1664 694
 
1.5%
579549.8163 685
 
1.5%
563749.2249 637
 
1.4%
Other values (90) 35668
76.3%
ValueCountFrequency (%)
387377.0702 357
0.8%
387579.1716 360
0.8%
404476.8539 422
0.9%
420106.1817 399
0.9%
422247.4333 368
0.8%
422893.4305 359
0.8%
437457.061 408
0.9%
438347.2087 262
0.6%
455023.3804 408
0.9%
488085.4468 399
0.9%
ValueCountFrequency (%)
733507.4066 187
 
0.4%
724788.301 364
0.8%
719280.6169 364
0.8%
719077.5996 300
0.6%
710358.7929 438
0.9%
703797.5876 373
0.8%
703250.3932 331
0.7%
702843.446 361
0.8%
697059.8095 617
1.3%
694204.9047 435
0.9%

Sisestatud x L-EST97
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6501536.1
Minimum6383851.6
Maximum6606655.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:02.463974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6383851.6
5-th percentile6399418.8
Q16443542.2
median6494486.4
Q36560037
95-th percentile6604449.3
Maximum6606655.8
Range222804.21
Interquartile range (IQR)116494.77

Descriptive statistics

Standard deviation65973.042
Coefficient of variation (CV)0.010147301
Kurtosis-1.2206099
Mean6501536.1
Median Absolute Deviation (MAD)57317.552
Skewness0.069133454
Sum3.0401833 × 1011
Variance4.3524423 × 109
MonotonicityNot monotonic
2024-09-13T18:32:02.514312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6604449.254 1688
 
3.6%
6601467.293 1611
 
3.4%
6437168.837 1587
 
3.4%
6461853 1262
 
2.7%
6398199.9 1160
 
2.5%
6606457.21 1070
 
2.3%
6433312.556 699
 
1.5%
6476388.797 694
 
1.5%
6460972.201 685
 
1.5%
6460467.907 637
 
1.4%
Other values (90) 35668
76.3%
ValueCountFrequency (%)
6383851.623 512
1.1%
6387168.092 617
1.3%
6398199.9 1160
2.5%
6399418.768 432
 
0.9%
6400041.238 466
1.0%
6401497.481 485
1.0%
6401849.026 61
 
0.1%
6414035.59 502
1.1%
6416725.112 388
 
0.8%
6418035.337 435
 
0.9%
ValueCountFrequency (%)
6606655.834 430
 
0.9%
6606457.21 1070
2.3%
6605666.332 372
 
0.8%
6604449.254 1688
3.6%
6601467.293 1611
3.4%
6595710.9 187
 
0.4%
6593074.773 370
 
0.8%
6592798.214 364
 
0.8%
6585969.455 360
 
0.8%
6583019.13 441
 
0.9%

Sisestatud y L-EST97
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean598523.67
Minimum387377.07
Maximum733507.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:02.562575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum387377.07
5-th percentile437457.06
Q1548474.02
median615668.32
Q3647148.13
95-th percentile703250.39
Maximum733507.41
Range346130.34
Interquartile range (IQR)98674.11

Descriptive statistics

Standard deviation74571.232
Coefficient of variation (CV)0.12459195
Kurtosis0.38729355
Mean598523.67
Median Absolute Deviation (MAD)45535.715
Skewness-0.79948707
Sum2.7987565 × 1010
Variance5.5608687 × 109
MonotonicityNot monotonic
2024-09-13T18:32:02.614377image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
615668.3222 1688
 
3.6%
635922.3523 1611
 
3.4%
624825.0284 1587
 
3.4%
644252.8615 1262
 
2.7%
650083.4751 1160
 
2.5%
620491.3303 1070
 
2.3%
661204.0367 699
 
1.5%
562858.1664 694
 
1.5%
579549.8163 685
 
1.5%
563749.2249 637
 
1.4%
Other values (90) 35668
76.3%
ValueCountFrequency (%)
387377.0702 357
0.8%
387579.1716 360
0.8%
404476.8539 422
0.9%
420106.1817 399
0.9%
422247.4333 368
0.8%
422893.4305 359
0.8%
437457.061 408
0.9%
438347.2087 262
0.6%
455023.3804 408
0.9%
488085.4468 399
0.9%
ValueCountFrequency (%)
733507.4066 187
 
0.4%
724788.301 364
0.8%
719280.6169 364
0.8%
719077.5996 300
0.6%
710358.7929 438
0.9%
703797.5876 373
0.8%
703250.3932 331
0.7%
702843.446 361
0.8%
697059.8095 617
1.3%
694204.9047 435
0.9%

Seotud seirejaama KKR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seotud seirejaama nimi
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seotud seirejaama x L-EST97
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seotud seirejaama y L-EST97
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Veekogu KKR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Veekogu nimi
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seirekogumi kood
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seirekogumi nimi
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Veekogumi tüüp
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Puuraugu KKR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Põhjaveekiht
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB
Distinct93
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:02.725950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length41
Median length30
Mean length16.62488
Min length2

Characters and Unicode

Total characters777396
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st rowKaadmium
2nd rowPlii
3rd rowVask
4th rowTsink
5th rowÜldfosfor
ValueCountFrequency (%)
puu 14896
 
14.5%
kahjustuse 10037
 
9.8%
võra 5728
 
5.6%
okka/lehekadu 4702
 
4.6%
seisund 4614
 
4.5%
vanus 3885
 
3.8%
osa 3386
 
3.3%
kahjustatud 3044
 
3.0%
sümptom 2837
 
2.8%
kogu 2522
 
2.5%
Other values (100) 47210
45.9%
2024-09-13T18:32:02.913323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 101290
13.0%
s 93814
 
12.1%
a 81354
 
10.5%
56100
 
7.2%
e 50555
 
6.5%
k 41000
 
5.3%
t 35546
 
4.6%
i 30634
 
3.9%
d 26880
 
3.5%
n 25263
 
3.2%
Other values (43) 234960
30.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 777396
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
u 101290
13.0%
s 93814
 
12.1%
a 81354
 
10.5%
56100
 
7.2%
e 50555
 
6.5%
k 41000
 
5.3%
t 35546
 
4.6%
i 30634
 
3.9%
d 26880
 
3.5%
n 25263
 
3.2%
Other values (43) 234960
30.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 777396
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
u 101290
13.0%
s 93814
 
12.1%
a 81354
 
10.5%
56100
 
7.2%
e 50555
 
6.5%
k 41000
 
5.3%
t 35546
 
4.6%
i 30634
 
3.9%
d 26880
 
3.5%
n 25263
 
3.2%
Other values (43) 234960
30.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 777396
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
u 101290
13.0%
s 93814
 
12.1%
a 81354
 
10.5%
56100
 
7.2%
e 50555
 
6.5%
k 41000
 
5.3%
t 35546
 
4.6%
i 30634
 
3.9%
d 26880
 
3.5%
n 25263
 
3.2%
Other values (43) 234960
30.2%

Näitaja lühend
Categorical

HIGH CORRELATION  MISSING 

Distinct38
Distinct (%)0.8%
Missing41984
Missing (%)89.8%
Memory size365.4 KiB
Nüld
 
345
Mg
 
242
K
 
242
Ca
 
242
Püld
 
199
Other values (33)
3507 

Length

Max length10
Median length8
Mean length3.3772242
Min length1

Characters and Unicode

Total characters16133
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCd
2nd rowPb
3rd rowCu
4th rowZn
5th rowPüld

Common Values

ValueCountFrequency (%)
Nüld 345
 
0.7%
Mg 242
 
0.5%
K 242
 
0.5%
Ca 242
 
0.5%
Püld 199
 
0.4%
Cl 199
 
0.4%
NH4N 199
 
0.4%
Na 199
 
0.4%
SO4S 199
 
0.4%
NO3N 199
 
0.4%
Other values (28) 2512
 
5.4%
(Missing) 41984
89.8%

Length

2024-09-13T18:32:02.982591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ph 400
 
7.9%
nüld 345
 
6.8%
k 242
 
4.8%
ca 242
 
4.8%
mg 242
 
4.8%
püld 199
 
3.9%
cl 199
 
3.9%
nh4n 199
 
3.9%
na 199
 
3.9%
so4s 199
 
3.9%
Other values (29) 2617
51.5%

Most occurring characters

ValueCountFrequency (%)
N 1446
 
9.0%
C 1375
 
8.5%
l 1134
 
7.0%
a 981
 
6.1%
H 909
 
5.6%
e 875
 
5.4%
O 844
 
5.2%
- 714
 
4.4%
x 714
 
4.4%
d 684
 
4.2%
Other values (27) 6457
40.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16133
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
N 1446
 
9.0%
C 1375
 
8.5%
l 1134
 
7.0%
a 981
 
6.1%
H 909
 
5.6%
e 875
 
5.4%
O 844
 
5.2%
- 714
 
4.4%
x 714
 
4.4%
d 684
 
4.2%
Other values (27) 6457
40.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16133
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
N 1446
 
9.0%
C 1375
 
8.5%
l 1134
 
7.0%
a 981
 
6.1%
H 909
 
5.6%
e 875
 
5.4%
O 844
 
5.2%
- 714
 
4.4%
x 714
 
4.4%
d 684
 
4.2%
Other values (27) 6457
40.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16133
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
N 1446
 
9.0%
C 1375
 
8.5%
l 1134
 
7.0%
a 981
 
6.1%
H 909
 
5.6%
e 875
 
5.4%
O 844
 
5.2%
- 714
 
4.4%
x 714
 
4.4%
d 684
 
4.2%
Other values (27) 6457
40.0%

Näitaja grupp
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Puistu ja puude näitajad
40965 
Füüsikalis-keemilised näitajad vees
 
3146
Füüsikalis-keemilised näitajad setetes, mullas, pinnases
 
1687
Ohtlikud ained setetes, mullas, pinnases
 
324
Ohtlikud ained vees
 
220
Other values (5)
 
419

Length

Max length56
Median length24
Mean length25.883899
Min length4

Characters and Unicode

Total characters1210357
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOhtlikud ained vees
2nd rowOhtlikud ained vees
3rd rowOhtlikud ained vees
4th rowOhtlikud ained vees
5th rowFüüsikalis-keemilised näitajad vees

Common Values

ValueCountFrequency (%)
Puistu ja puude näitajad 40965
87.6%
Füüsikalis-keemilised näitajad vees 3146
 
6.7%
Füüsikalis-keemilised näitajad setetes, mullas, pinnases 1687
 
3.6%
Ohtlikud ained setetes, mullas, pinnases 324
 
0.7%
Ohtlikud ained vees 220
 
0.5%
Muud 143
 
0.3%
Muld 104
 
0.2%
Seirekoha kirjeldused 99
 
0.2%
Füüsikalis-keemilised näitajad elustikus 41
 
0.1%
Ohtlikud ained elustikus 32
 
0.1%

Length

2024-09-13T18:32:03.022648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:03.064080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
näitajad 45839
24.8%
puistu 40965
22.2%
ja 40965
22.2%
puude 40965
22.2%
füüsikalis-keemilised 4874
 
2.6%
vees 3366
 
1.8%
setetes 2011
 
1.1%
mullas 2011
 
1.1%
pinnases 2011
 
1.1%
ohtlikud 576
 
0.3%
Other values (6) 1094
 
0.6%

Most occurring characters

ValueCountFrequency (%)
u 167082
13.8%
a 142214
11.7%
137916
11.4%
i 109734
9.1%
d 93275
7.7%
t 91475
7.6%
j 86903
7.2%
e 71408
 
5.9%
s 69253
 
5.7%
n 50437
 
4.2%
Other values (17) 190660
15.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1210357
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
u 167082
13.8%
a 142214
11.7%
137916
11.4%
i 109734
9.1%
d 93275
7.7%
t 91475
7.6%
j 86903
7.2%
e 71408
 
5.9%
s 69253
 
5.7%
n 50437
 
4.2%
Other values (17) 190660
15.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1210357
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
u 167082
13.8%
a 142214
11.7%
137916
11.4%
i 109734
9.1%
d 93275
7.7%
t 91475
7.6%
j 86903
7.2%
e 71408
 
5.9%
s 69253
 
5.7%
n 50437
 
4.2%
Other values (17) 190660
15.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1210357
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
u 167082
13.8%
a 142214
11.7%
137916
11.4%
i 109734
9.1%
d 93275
7.7%
t 91475
7.6%
j 86903
7.2%
e 71408
 
5.9%
s 69253
 
5.7%
n 50437
 
4.2%
Other values (17) 190660
15.8%

Alamgrupp
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing46043
Missing (%)98.5%
Memory size365.4 KiB
Metallid
718 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters5744
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMetallid
2nd rowMetallid
3rd rowMetallid
4th rowMetallid
5th rowMetallid

Common Values

ValueCountFrequency (%)
Metallid 718
 
1.5%
(Missing) 46043
98.5%

Length

2024-09-13T18:32:03.120074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:03.153845image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
metallid 718
100.0%

Most occurring characters

ValueCountFrequency (%)
l 1436
25.0%
M 718
12.5%
e 718
12.5%
t 718
12.5%
a 718
12.5%
i 718
12.5%
d 718
12.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5744
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 1436
25.0%
M 718
12.5%
e 718
12.5%
t 718
12.5%
a 718
12.5%
i 718
12.5%
d 718
12.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5744
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 1436
25.0%
M 718
12.5%
e 718
12.5%
t 718
12.5%
a 718
12.5%
i 718
12.5%
d 718
12.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5744
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 1436
25.0%
M 718
12.5%
e 718
12.5%
t 718
12.5%
a 718
12.5%
i 718
12.5%
d 718
12.5%

Liik/takson (est)
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct9
Distinct (%)< 0.1%
Missing5777
Missing (%)12.4%
Memory size365.4 KiB
harilik mänd
27534 
harilik kuusk
10220 
arukask
 
2559
sanglepp
 
194
harilik haab
 
173
Other values (4)
 
304

Length

Max length13
Median length12
Mean length11.895813
Min length7

Characters and Unicode

Total characters487538
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowharilik kuusk
2nd rowharilik kuusk
3rd rowharilik kuusk
4th rowharilik kuusk
5th rowharilik kuusk

Common Values

ValueCountFrequency (%)
harilik mänd 27534
58.9%
harilik kuusk 10220
 
21.9%
arukask 2559
 
5.5%
sanglepp 194
 
0.4%
harilik haab 173
 
0.4%
sookask 158
 
0.3%
harilik tamm 61
 
0.1%
hall lepp 43
 
0.1%
harilik saar 42
 
0.1%
(Missing) 5777
 
12.4%

Length

2024-09-13T18:32:03.193867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:03.240148image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
harilik 38030
48.1%
mänd 27534
34.8%
kuusk 10220
 
12.9%
arukask 2559
 
3.2%
sanglepp 194
 
0.2%
haab 173
 
0.2%
sookask 158
 
0.2%
tamm 61
 
0.1%
hall 43
 
0.1%
lepp 43
 
0.1%

Most occurring characters

ValueCountFrequency (%)
i 76060
15.6%
k 63904
13.1%
a 44034
9.0%
r 40631
8.3%
l 38353
7.9%
h 38246
7.8%
38073
7.8%
n 27728
 
5.7%
m 27656
 
5.7%
ä 27534
 
5.6%
Other values (9) 65319
13.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 487538
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 76060
15.6%
k 63904
13.1%
a 44034
9.0%
r 40631
8.3%
l 38353
7.9%
h 38246
7.8%
38073
7.8%
n 27728
 
5.7%
m 27656
 
5.7%
ä 27534
 
5.6%
Other values (9) 65319
13.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 487538
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 76060
15.6%
k 63904
13.1%
a 44034
9.0%
r 40631
8.3%
l 38353
7.9%
h 38246
7.8%
38073
7.8%
n 27728
 
5.7%
m 27656
 
5.7%
ä 27534
 
5.6%
Other values (9) 65319
13.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 487538
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 76060
15.6%
k 63904
13.1%
a 44034
9.0%
r 40631
8.3%
l 38353
7.9%
h 38246
7.8%
38073
7.8%
n 27728
 
5.7%
m 27656
 
5.7%
ä 27534
 
5.6%
Other values (9) 65319
13.4%

Liik/takson (lad)
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct9
Distinct (%)< 0.1%
Missing5777
Missing (%)12.4%
Memory size365.4 KiB
Pinus sylvestris
27534 
Picea abies
10220 
Betula pendula
 
2559
Alnus glutinosa
 
194
Populus tremula
 
173
Other values (4)
 
304

Length

Max length18
Median length16
Mean length14.612727
Min length11

Characters and Unicode

Total characters598888
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPicea abies
2nd rowPicea abies
3rd rowPicea abies
4th rowPicea abies
5th rowPicea abies

Common Values

ValueCountFrequency (%)
Pinus sylvestris 27534
58.9%
Picea abies 10220
 
21.9%
Betula pendula 2559
 
5.5%
Alnus glutinosa 194
 
0.4%
Populus tremula 173
 
0.4%
Betula pubescens 158
 
0.3%
Quercus robur 61
 
0.1%
Alnus incana 43
 
0.1%
Fraxinus excelsior 42
 
0.1%
(Missing) 5777
 
12.4%

Length

2024-09-13T18:32:03.297033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:03.343817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
pinus 27534
33.6%
sylvestris 27534
33.6%
picea 10220
 
12.5%
abies 10220
 
12.5%
betula 2717
 
3.3%
pendula 2559
 
3.1%
alnus 237
 
0.3%
glutinosa 194
 
0.2%
populus 173
 
0.2%
tremula 173
 
0.2%
Other values (6) 407
 
0.5%

Most occurring characters

ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 598888
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 598888
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 598888
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Sisestatud liik (lad)
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct9
Distinct (%)< 0.1%
Missing5777
Missing (%)12.4%
Memory size365.4 KiB
Pinus sylvestris
27534 
Picea abies
10220 
Betula pendula
 
2559
Alnus glutinosa
 
194
Populus tremula
 
173
Other values (4)
 
304

Length

Max length18
Median length16
Mean length14.612727
Min length11

Characters and Unicode

Total characters598888
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPicea abies
2nd rowPicea abies
3rd rowPicea abies
4th rowPicea abies
5th rowPicea abies

Common Values

ValueCountFrequency (%)
Pinus sylvestris 27534
58.9%
Picea abies 10220
 
21.9%
Betula pendula 2559
 
5.5%
Alnus glutinosa 194
 
0.4%
Populus tremula 173
 
0.4%
Betula pubescens 158
 
0.3%
Quercus robur 61
 
0.1%
Alnus incana 43
 
0.1%
Fraxinus excelsior 42
 
0.1%
(Missing) 5777
 
12.4%

Length

2024-09-13T18:32:03.400633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:03.448481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
pinus 27534
33.6%
sylvestris 27534
33.6%
picea 10220
 
12.5%
abies 10220
 
12.5%
betula 2717
 
3.3%
pendula 2559
 
3.1%
alnus 237
 
0.3%
glutinosa 194
 
0.2%
populus 173
 
0.2%
tremula 173
 
0.2%
Other values (6) 407
 
0.5%

Most occurring characters

ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 598888
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 598888
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 598888
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 121421
20.3%
i 75829
12.7%
e 53884
9.0%
40984
 
6.8%
P 37927
 
6.3%
u 34143
 
5.7%
l 33629
 
5.6%
n 30810
 
5.1%
t 30618
 
5.1%
r 27974
 
4.7%
Other values (15) 111669
18.6%

Isendi nr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Liigi kategooria
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB
Distinct3525
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:03.579811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters514371
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)0.3%

Sample

1st rowP0000790341
2nd rowP0000790341
3rd rowP0000790341
4th rowP0000790341
5th rowP0000790341
ValueCountFrequency (%)
p0000805715 25
 
0.1%
p0000805740 25
 
0.1%
p0000805799 25
 
0.1%
p0000805806 25
 
0.1%
p0000805787 24
 
0.1%
p0000805737 24
 
0.1%
p0000805708 24
 
0.1%
p0000805840 24
 
0.1%
p0000805812 24
 
0.1%
p0000805742 24
 
0.1%
Other values (3515) 46517
99.5%
2024-09-13T18:32:03.773124image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166172
32.3%
2 69304
13.5%
5 57613
 
11.2%
1 56276
 
10.9%
V 41064
 
8.0%
3 26705
 
5.2%
4 26286
 
5.1%
7 18121
 
3.5%
9 17413
 
3.4%
8 16277
 
3.2%
Other values (2) 19140
 
3.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 514371
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 166172
32.3%
2 69304
13.5%
5 57613
 
11.2%
1 56276
 
10.9%
V 41064
 
8.0%
3 26705
 
5.2%
4 26286
 
5.1%
7 18121
 
3.5%
9 17413
 
3.4%
8 16277
 
3.2%
Other values (2) 19140
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 514371
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 166172
32.3%
2 69304
13.5%
5 57613
 
11.2%
1 56276
 
10.9%
V 41064
 
8.0%
3 26705
 
5.2%
4 26286
 
5.1%
7 18121
 
3.5%
9 17413
 
3.4%
8 16277
 
3.2%
Other values (2) 19140
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 514371
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 166172
32.3%
2 69304
13.5%
5 57613
 
11.2%
1 56276
 
10.9%
V 41064
 
8.0%
3 26705
 
5.2%
4 26286
 
5.1%
7 18121
 
3.5%
9 17413
 
3.4%
8 16277
 
3.2%
Other values (2) 19140
 
3.7%

Prooviprotokolli / vaatluslehe nr
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct239
Distinct (%)4.2%
Missing41064
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean682.11761
Minimum1
Maximum9624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:03.852520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median326
Q31074
95-th percentile2048
Maximum9624
Range9623
Interquartile range (IQR)1073

Descriptive statistics

Standard deviation1026.0104
Coefficient of variation (CV)1.5041547
Kurtosis33.793416
Mean682.11761
Median Absolute Deviation (MAD)325
Skewness4.4062862
Sum3886024
Variance1052697.3
MonotonicityNot monotonic
2024-09-13T18:32:03.904677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2277
 
4.9%
1832 22
 
< 0.1%
727 22
 
< 0.1%
729 22
 
< 0.1%
1830 22
 
< 0.1%
1828 22
 
< 0.1%
863 22
 
< 0.1%
867 22
 
< 0.1%
865 22
 
< 0.1%
2050 22
 
< 0.1%
Other values (229) 3222
 
6.9%
(Missing) 41064
87.8%
ValueCountFrequency (%)
1 2277
4.9%
2 18
 
< 0.1%
3 18
 
< 0.1%
4 18
 
< 0.1%
11 15
 
< 0.1%
12 15
 
< 0.1%
13 15
 
< 0.1%
14 15
 
< 0.1%
15 15
 
< 0.1%
16 15
 
< 0.1%
ValueCountFrequency (%)
9624 1
< 0.1%
9623 1
< 0.1%
9622 1
< 0.1%
9621 1
< 0.1%
9620 1
< 0.1%
9619 1
< 0.1%
9618 1
< 0.1%
9617 1
< 0.1%
9616 1
< 0.1%
9615 1
< 0.1%

Proovi / vaatluse kirjeldus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Proovivõtja / vaatlejad
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Enn Kaljula
15698 
Vladislav Apuhtin
14890 
Merit Ehrpais
7670 
Kaarel Aruste
6278 
Teadmata
2152 

Length

Max length17
Median length13
Mean length13.364385
Min length8

Characters and Unicode

Total characters624932
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVladislav Apuhtin
2nd rowVladislav Apuhtin
3rd rowVladislav Apuhtin
4th rowVladislav Apuhtin
5th rowVladislav Apuhtin

Common Values

ValueCountFrequency (%)
Enn Kaljula 15698
33.6%
Vladislav Apuhtin 14890
31.8%
Merit Ehrpais 7670
16.4%
Kaarel Aruste 6278
 
13.4%
Teadmata 2152
 
4.6%
Eve Kaur 73
 
0.2%

Length

2024-09-13T18:32:03.950657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:03.988336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
enn 15698
17.2%
kaljula 15698
17.2%
vladislav 14890
16.3%
apuhtin 14890
16.3%
merit 7670
8.4%
ehrpais 7670
8.4%
kaarel 6278
 
6.9%
aruste 6278
 
6.9%
teadmata 2152
 
2.4%
eve 73
 
0.1%

Most occurring characters

ValueCountFrequency (%)
a 87931
14.1%
l 67454
 
10.8%
n 46286
 
7.4%
i 45120
 
7.2%
44609
 
7.1%
u 36939
 
5.9%
t 30990
 
5.0%
s 28838
 
4.6%
r 27969
 
4.5%
E 23441
 
3.8%
Other values (12) 185355
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 624932
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 87931
14.1%
l 67454
 
10.8%
n 46286
 
7.4%
i 45120
 
7.2%
44609
 
7.1%
u 36939
 
5.9%
t 30990
 
5.0%
s 28838
 
4.6%
r 27969
 
4.5%
E 23441
 
3.8%
Other values (12) 185355
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 624932
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 87931
14.1%
l 67454
 
10.8%
n 46286
 
7.4%
i 45120
 
7.2%
44609
 
7.1%
u 36939
 
5.9%
t 30990
 
5.0%
s 28838
 
4.6%
r 27969
 
4.5%
E 23441
 
3.8%
Other values (12) 185355
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 624932
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 87931
14.1%
l 67454
 
10.8%
n 46286
 
7.4%
i 45120
 
7.2%
44609
 
7.1%
u 36939
 
5.9%
t 30990
 
5.0%
s 28838
 
4.6%
r 27969
 
4.5%
E 23441
 
3.8%
Other values (12) 185355
29.7%

Vaatleja EELIS ID
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing5697
Missing (%)12.2%
Memory size365.4 KiB
-122331639.0
15698 
190547565.0
11418 
2092465016.0
7670 
-2056850093.0
6278 

Length

Max length13
Median length12
Mean length11.87483
Min length11

Characters and Unicode

Total characters487628
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-2056850093.0
2nd row-2056850093.0
3rd row-2056850093.0
4th row-2056850093.0
5th row-2056850093.0

Common Values

ValueCountFrequency (%)
-122331639.0 15698
33.6%
190547565.0 11418
24.4%
2092465016.0 7670
16.4%
-2056850093.0 6278
 
13.4%
(Missing) 5697
 
12.2%

Length

2024-09-13T18:32:04.037404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.127892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
122331639.0 15698
38.2%
190547565.0 11418
27.8%
2092465016.0 7670
18.7%
2056850093.0 6278
 
15.3%

Most occurring characters

ValueCountFrequency (%)
0 86656
17.8%
5 54480
11.2%
3 53372
10.9%
2 53014
10.9%
1 50484
10.4%
6 48734
10.0%
9 41064
8.4%
. 41064
8.4%
- 21976
 
4.5%
4 19088
 
3.9%
Other values (2) 17696
 
3.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 487628
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 86656
17.8%
5 54480
11.2%
3 53372
10.9%
2 53014
10.9%
1 50484
10.4%
6 48734
10.0%
9 41064
8.4%
. 41064
8.4%
- 21976
 
4.5%
4 19088
 
3.9%
Other values (2) 17696
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 487628
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 86656
17.8%
5 54480
11.2%
3 53372
10.9%
2 53014
10.9%
1 50484
10.4%
6 48734
10.0%
9 41064
8.4%
. 41064
8.4%
- 21976
 
4.5%
4 19088
 
3.9%
Other values (2) 17696
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 487628
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 86656
17.8%
5 54480
11.2%
3 53372
10.9%
2 53014
10.9%
1 50484
10.4%
6 48734
10.0%
9 41064
8.4%
. 41064
8.4%
- 21976
 
4.5%
4 19088
 
3.9%
Other values (2) 17696
 
3.6%

Labori dok. nr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Analüüsi aeg
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)0.2%
Missing44503
Missing (%)95.2%
Memory size365.4 KiB
22.11.2022 00:00
1153 
24.10.2022 00:00
392 
24.04.2023 00:00
336 
27.04.2023 00:00
325 
12.10.2022 00:00
 
52

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters36128
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24.10.2022 00:00
2nd row24.10.2022 00:00
3rd row24.10.2022 00:00
4th row24.10.2022 00:00
5th row24.10.2022 00:00

Common Values

ValueCountFrequency (%)
22.11.2022 00:00 1153
 
2.5%
24.10.2022 00:00 392
 
0.8%
24.04.2023 00:00 336
 
0.7%
27.04.2023 00:00 325
 
0.7%
12.10.2022 00:00 52
 
0.1%
(Missing) 44503
95.2%

Length

2024-09-13T18:32:04.171500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.207796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
00:00 2258
50.0%
22.11.2022 1153
25.5%
24.10.2022 392
 
8.7%
24.04.2023 336
 
7.4%
27.04.2023 325
 
7.2%
12.10.2022 52
 
1.2%

Most occurring characters

ValueCountFrequency (%)
0 12395
34.3%
2 9524
26.4%
. 4516
 
12.5%
1 2802
 
7.8%
2258
 
6.2%
: 2258
 
6.2%
4 1389
 
3.8%
3 661
 
1.8%
7 325
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36128
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 12395
34.3%
2 9524
26.4%
. 4516
 
12.5%
1 2802
 
7.8%
2258
 
6.2%
: 2258
 
6.2%
4 1389
 
3.8%
3 661
 
1.8%
7 325
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36128
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 12395
34.3%
2 9524
26.4%
. 4516
 
12.5%
1 2802
 
7.8%
2258
 
6.2%
: 2258
 
6.2%
4 1389
 
3.8%
3 661
 
1.8%
7 325
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36128
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 12395
34.3%
2 9524
26.4%
. 4516
 
12.5%
1 2802
 
7.8%
2258
 
6.2%
: 2258
 
6.2%
4 1389
 
3.8%
3 661
 
1.8%
7 325
 
0.9%

Analüüsi teostaja
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB
Distinct87
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Minimum2021-11-01 00:00:00
Maximum2022-11-30 00:00:00
2024-09-13T18:32:04.257175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:32:04.312712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Seireaja lõpp
Date

MISSING 

Distinct44
Distinct (%)0.8%
Missing41064
Missing (%)87.8%
Memory size365.4 KiB
Minimum2022-01-31 00:00:00
Maximum2023-01-04 00:00:00
2024-09-13T18:32:04.363972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:32:04.411315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

Seireaja täpsustus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seotud vaatlus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Proovi sügavus (m)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Vaatlusgrupp
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing5697
Missing (%)12.2%
Memory size365.4 KiB
Visuaalne puude võra seisundi hindamine
41064 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters1601496
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVisuaalne puude võra seisundi hindamine
2nd rowVisuaalne puude võra seisundi hindamine
3rd rowVisuaalne puude võra seisundi hindamine
4th rowVisuaalne puude võra seisundi hindamine
5th rowVisuaalne puude võra seisundi hindamine

Common Values

ValueCountFrequency (%)
Visuaalne puude võra seisundi hindamine 41064
87.8%
(Missing) 5697
 
12.2%

Length

2024-09-13T18:32:04.456471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.491465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
visuaalne 41064
20.0%
puude 41064
20.0%
võra 41064
20.0%
seisundi 41064
20.0%
hindamine 41064
20.0%

Most occurring characters

ValueCountFrequency (%)
i 205320
12.8%
u 164256
10.3%
a 164256
10.3%
n 164256
10.3%
e 164256
10.3%
164256
10.3%
s 123192
7.7%
d 123192
7.7%
V 41064
 
2.6%
l 41064
 
2.6%
Other values (6) 246384
15.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1601496
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 205320
12.8%
u 164256
10.3%
a 164256
10.3%
n 164256
10.3%
e 164256
10.3%
164256
10.3%
s 123192
7.7%
d 123192
7.7%
V 41064
 
2.6%
l 41064
 
2.6%
Other values (6) 246384
15.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1601496
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 205320
12.8%
u 164256
10.3%
a 164256
10.3%
n 164256
10.3%
e 164256
10.3%
164256
10.3%
s 123192
7.7%
d 123192
7.7%
V 41064
 
2.6%
l 41064
 
2.6%
Other values (6) 246384
15.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1601496
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 205320
12.8%
u 164256
10.3%
a 164256
10.3%
n 164256
10.3%
e 164256
10.3%
164256
10.3%
s 123192
7.7%
d 123192
7.7%
V 41064
 
2.6%
l 41064
 
2.6%
Other values (6) 246384
15.4%

Proovivõtumeetodi nimetus
Categorical

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)0.1%
Missing41064
Missing (%)87.8%
Memory size365.4 KiB
Proovivõtt kihtide kaupa - metsamullad
2258 
Mullavee proovide võtmine lüsimeetrite abil
1214 
Proovide võtmine sademeteveest (avamaavesi)
1077 
Proovide võtmine sademeteveest (võravesi)
1075 
Variseproov (peapuuliigi okkad)
 
19
Other values (3)
 
54

Length

Max length45
Median length43
Mean length40.534492
Min length31

Characters and Unicode

Total characters230925
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMullavee proovide võtmine lüsimeetrite abil
2nd rowMullavee proovide võtmine lüsimeetrite abil
3rd rowMullavee proovide võtmine lüsimeetrite abil
4th rowMullavee proovide võtmine lüsimeetrite abil
5th rowMullavee proovide võtmine lüsimeetrite abil

Common Values

ValueCountFrequency (%)
Proovivõtt kihtide kaupa - metsamullad 2258
 
4.8%
Mullavee proovide võtmine lüsimeetrite abil 1214
 
2.6%
Proovide võtmine sademeteveest (avamaavesi) 1077
 
2.3%
Proovide võtmine sademeteveest (võravesi) 1075
 
2.3%
Variseproov (peapuuliigi okkad) 19
 
< 0.1%
Variseproov (viljad ja seemned) 18
 
< 0.1%
Variseproov (oksad ja muu varis) 18
 
< 0.1%
Variseproov (muude puuliikide okkad ja lehed) 18
 
< 0.1%
(Missing) 41064
87.8%

Length

2024-09-13T18:32:04.531352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.575663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
proovide 3366
12.8%
võtmine 3366
12.8%
proovivõtt 2258
8.6%
kihtide 2258
8.6%
kaupa 2258
8.6%
2258
8.6%
metsamullad 2258
8.6%
sademeteveest 2152
8.2%
mullavee 1214
 
4.6%
lüsimeetrite 1214
 
4.6%
Other values (15) 3693
14.0%

Most occurring characters

ValueCountFrequency (%)
e 30448
13.2%
20598
 
8.9%
i 19520
 
8.5%
a 19232
 
8.3%
t 19130
 
8.3%
v 19027
 
8.2%
m 12379
 
5.4%
o 11449
 
5.0%
d 10179
 
4.4%
s 10055
 
4.4%
Other values (18) 58908
25.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 230925
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 30448
13.2%
20598
 
8.9%
i 19520
 
8.5%
a 19232
 
8.3%
t 19130
 
8.3%
v 19027
 
8.2%
m 12379
 
5.4%
o 11449
 
5.0%
d 10179
 
4.4%
s 10055
 
4.4%
Other values (18) 58908
25.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 230925
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 30448
13.2%
20598
 
8.9%
i 19520
 
8.5%
a 19232
 
8.3%
t 19130
 
8.3%
v 19027
 
8.2%
m 12379
 
5.4%
o 11449
 
5.0%
d 10179
 
4.4%
s 10055
 
4.4%
Other values (18) 58908
25.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 230925
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 30448
13.2%
20598
 
8.9%
i 19520
 
8.5%
a 19232
 
8.3%
t 19130
 
8.3%
v 19027
 
8.2%
m 12379
 
5.4%
o 11449
 
5.0%
d 10179
 
4.4%
s 10055
 
4.4%
Other values (18) 58908
25.5%

Proovivõtumeetodi standard
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Proovivõtumeetodi proovivõtu sügavus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Proovi liik
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing41064
Missing (%)87.8%
Memory size365.4 KiB
Keskmistatud proov
3439 
Koondproov
2258 

Length

Max length18
Median length18
Mean length14.829208
Min length10

Characters and Unicode

Total characters84482
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKeskmistatud proov
2nd rowKeskmistatud proov
3rd rowKeskmistatud proov
4th rowKeskmistatud proov
5th rowKeskmistatud proov

Common Values

ValueCountFrequency (%)
Keskmistatud proov 3439
 
7.4%
Koondproov 2258
 
4.8%
(Missing) 41064
87.8%

Length

2024-09-13T18:32:04.637236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.675972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
keskmistatud 3439
37.6%
proov 3439
37.6%
koondproov 2258
24.7%

Most occurring characters

ValueCountFrequency (%)
o 15910
18.8%
s 6878
 
8.1%
t 6878
 
8.1%
K 5697
 
6.7%
d 5697
 
6.7%
p 5697
 
6.7%
r 5697
 
6.7%
v 5697
 
6.7%
e 3439
 
4.1%
k 3439
 
4.1%
Other values (6) 19453
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 84482
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 15910
18.8%
s 6878
 
8.1%
t 6878
 
8.1%
K 5697
 
6.7%
d 5697
 
6.7%
p 5697
 
6.7%
r 5697
 
6.7%
v 5697
 
6.7%
e 3439
 
4.1%
k 3439
 
4.1%
Other values (6) 19453
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 84482
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 15910
18.8%
s 6878
 
8.1%
t 6878
 
8.1%
K 5697
 
6.7%
d 5697
 
6.7%
p 5697
 
6.7%
r 5697
 
6.7%
v 5697
 
6.7%
e 3439
 
4.1%
k 3439
 
4.1%
Other values (6) 19453
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 84482
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 15910
18.8%
s 6878
 
8.1%
t 6878
 
8.1%
K 5697
 
6.7%
d 5697
 
6.7%
p 5697
 
6.7%
r 5697
 
6.7%
v 5697
 
6.7%
e 3439
 
4.1%
k 3439
 
4.1%
Other values (6) 19453
23.0%

Proovivõtuseade
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Proovimaatriks
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)0.1%
Missing41064
Missing (%)87.8%
Memory size365.4 KiB
Muld, pinnas
2258 
Sademete vesi
2152 
Mullavesi
1214 
Varis
 
73

Length

Max length13
Median length12
Mean length11.648763
Min length5

Characters and Unicode

Total characters66363
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMullavesi
2nd rowMullavesi
3rd rowMullavesi
4th rowMullavesi
5th rowMullavesi

Common Values

ValueCountFrequency (%)
Muld, pinnas 2258
 
4.8%
Sademete vesi 2152
 
4.6%
Mullavesi 1214
 
2.6%
Varis 73
 
0.2%
(Missing) 41064
87.8%

Length

2024-09-13T18:32:04.717354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.756354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
muld 2258
22.3%
pinnas 2258
22.3%
sademete 2152
21.3%
vesi 2152
21.3%
mullavesi 1214
12.0%
varis 73
 
0.7%

Most occurring characters

ValueCountFrequency (%)
e 9822
14.8%
a 5697
 
8.6%
s 5697
 
8.6%
i 5697
 
8.6%
l 4686
 
7.1%
n 4516
 
6.8%
d 4410
 
6.6%
4410
 
6.6%
u 3472
 
5.2%
M 3472
 
5.2%
Other values (8) 14484
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66363
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 9822
14.8%
a 5697
 
8.6%
s 5697
 
8.6%
i 5697
 
8.6%
l 4686
 
7.1%
n 4516
 
6.8%
d 4410
 
6.6%
4410
 
6.6%
u 3472
 
5.2%
M 3472
 
5.2%
Other values (8) 14484
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66363
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 9822
14.8%
a 5697
 
8.6%
s 5697
 
8.6%
i 5697
 
8.6%
l 4686
 
7.1%
n 4516
 
6.8%
d 4410
 
6.6%
4410
 
6.6%
u 3472
 
5.2%
M 3472
 
5.2%
Other values (8) 14484
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66363
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 9822
14.8%
a 5697
 
8.6%
s 5697
 
8.6%
i 5697
 
8.6%
l 4686
 
7.1%
n 4516
 
6.8%
d 4410
 
6.6%
4410
 
6.6%
u 3472
 
5.2%
M 3472
 
5.2%
Other values (8) 14484
21.8%

Püügivahendi silmasuurus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Osa saagist
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Püügireisi nr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Traali tõmbe nr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Traali tõmbe kestvus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Kordsus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Seireala pindala
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Väärtuse staatus
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
Kehtiv
46761 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters280566
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKehtiv
2nd rowKehtiv
3rd rowKehtiv
4th rowKehtiv
5th rowKehtiv

Common Values

ValueCountFrequency (%)
Kehtiv 46761
100.0%

Length

2024-09-13T18:32:04.799114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.829535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
kehtiv 46761
100.0%

Most occurring characters

ValueCountFrequency (%)
K 46761
16.7%
e 46761
16.7%
h 46761
16.7%
t 46761
16.7%
i 46761
16.7%
v 46761
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 280566
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
K 46761
16.7%
e 46761
16.7%
h 46761
16.7%
t 46761
16.7%
i 46761
16.7%
v 46761
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 280566
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
K 46761
16.7%
e 46761
16.7%
h 46761
16.7%
t 46761
16.7%
i 46761
16.7%
v 46761
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 280566
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
K 46761
16.7%
e 46761
16.7%
h 46761
16.7%
t 46761
16.7%
i 46761
16.7%
v 46761
16.7%

Erimärk
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing46470
Missing (%)99.4%
Memory size365.4 KiB
<
291 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters291
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<
2nd row<
3rd row<
4th row<
5th row<

Common Values

ValueCountFrequency (%)
< 291
 
0.6%
(Missing) 46470
99.4%

Length

2024-09-13T18:32:04.864025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:04.895703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
291
100.0%

Most occurring characters

ValueCountFrequency (%)
< 291
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 291
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
< 291
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 291
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
< 291
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 291
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
< 291
100.0%

Mõõdetud arvväärtus
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct945
Distinct (%)6.4%
Missing31932
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean57.910866
Minimum0
Maximum41000
Zeros30
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:04.935781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0884
Q12
median14.5
Q332
95-th percentile103
Maximum41000
Range41000
Interquartile range (IQR)30

Descriptive statistics

Standard deviation643.83077
Coefficient of variation (CV)11.117616
Kurtosis1837.6052
Mean57.910866
Median Absolute Deviation (MAD)13.2
Skewness37.705499
Sum858760.23
Variance414518.05
MonotonicityNot monotonic
2024-09-13T18:32:04.985458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1460
 
3.1%
2 1277
 
2.7%
0.01 115
 
0.2%
38 112
 
0.2%
24 112
 
0.2%
26 108
 
0.2%
69 101
 
0.2%
95 98
 
0.2%
28 98
 
0.2%
86 96
 
0.2%
Other values (935) 11252
 
24.1%
(Missing) 31932
68.3%
ValueCountFrequency (%)
0 30
 
0.1%
0.0057 1
 
< 0.1%
0.0083 1
 
< 0.1%
0.009 3
 
< 0.1%
0.0096 1
 
< 0.1%
0.01 115
0.2%
0.011 11
 
< 0.1%
0.012 10
 
< 0.1%
0.013 9
 
< 0.1%
0.014 10
 
< 0.1%
ValueCountFrequency (%)
41000 1
< 0.1%
32000 1
< 0.1%
26000 1
< 0.1%
16000 1
< 0.1%
15000 2
< 0.1%
14000 2
< 0.1%
13000 1
< 0.1%
12000 2
< 0.1%
11000 2
< 0.1%
10000 1
< 0.1%

Mõõdetud määramistäpsus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Määramispiir
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Mõõtemääramatus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Määramatuse kommentaar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Arvväärtus
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1067
Distinct (%)7.2%
Missing31932
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean1461.0185
Minimum0
Maximum500000
Zeros30
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size365.4 KiB
2024-09-13T18:32:05.035266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.085
Q12
median16
Q333.3
95-th percentile114
Maximum500000
Range500000
Interquartile range (IQR)31.3

Descriptive statistics

Standard deviation22431.514
Coefficient of variation (CV)15.35334
Kurtosis376.23305
Mean1461.0185
Median Absolute Deviation (MAD)14
Skewness19.110036
Sum21665444
Variance5.0317281 × 108
MonotonicityNot monotonic
2024-09-13T18:32:05.088007image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1459
 
3.1%
2 1277
 
2.7%
0.01 115
 
0.2%
38 110
 
0.2%
24 109
 
0.2%
26 107
 
0.2%
69 100
 
0.2%
28 98
 
0.2%
95 98
 
0.2%
86 96
 
0.2%
Other values (1057) 11260
 
24.1%
(Missing) 31932
68.3%
ValueCountFrequency (%)
0 30
0.1%
1.6 × 10-53
 
< 0.1%
2.9 × 10-52
 
< 0.1%
3 × 10-51
 
< 0.1%
3.1 × 10-51
 
< 0.1%
3.2 × 10-51
 
< 0.1%
3.3 × 10-51
 
< 0.1%
3.6 × 10-51
 
< 0.1%
4 × 10-51
 
< 0.1%
4.1 × 10-51
 
< 0.1%
ValueCountFrequency (%)
500000 1
 
< 0.1%
490000 4
< 0.1%
480000 2
 
< 0.1%
470000 7
< 0.1%
460000 5
< 0.1%
450000 4
< 0.1%
440000 2
 
< 0.1%
420000 1
 
< 0.1%
410000 2
 
< 0.1%
380000 2
 
< 0.1%

Mõõdetud väärtuse ühik
Categorical

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)0.2%
Missing33705
Missing (%)72.1%
Memory size365.4 KiB
a
3553 
cm
2155 
m
2155 
mg/l
1553 
cmol+/kg KA
918 
Other values (18)
2722 

Length

Max length11
Median length10
Mean length3.1793811
Min length1

Characters and Unicode

Total characters41510
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowµg/l
2nd rowµg/l
3rd rowµg/l
4th rowµg/l
5th rowmg/l

Common Values

ValueCountFrequency (%)
a 3553
 
7.6%
cm 2155
 
4.6%
m 2155
 
4.6%
mg/l 1553
 
3.3%
cmol+/kg KA 918
 
2.0%
mg/kg KA 508
 
1.1%
mgN/l 398
 
0.9%
g/kg KA 342
 
0.7%
µg/l 220
 
0.5%
mgS/l 199
 
0.4%
Other values (13) 1055
 
2.3%
(Missing) 33705
72.1%

Length

2024-09-13T18:32:05.134105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a 3553
23.6%
m 2155
14.3%
cm 2155
14.3%
ka 2018
13.4%
mg/l 1553
10.3%
cmol+/kg 918
 
6.1%
mg/kg 508
 
3.4%
mgn/l 398
 
2.6%
g/kg 342
 
2.3%
µg/l 220
 
1.5%
Other values (13) 1258
 
8.3%

Most occurring characters

ValueCountFrequency (%)
m 8726
21.0%
g 5365
12.9%
/ 4814
11.6%
l 3747
9.0%
a 3553
8.6%
c 3270
 
7.9%
2022
 
4.9%
K 2018
 
4.9%
A 2018
 
4.9%
k 1982
 
4.8%
Other values (14) 3995
9.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41510
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 8726
21.0%
g 5365
12.9%
/ 4814
11.6%
l 3747
9.0%
a 3553
8.6%
c 3270
 
7.9%
2022
 
4.9%
K 2018
 
4.9%
A 2018
 
4.9%
k 1982
 
4.8%
Other values (14) 3995
9.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41510
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 8726
21.0%
g 5365
12.9%
/ 4814
11.6%
l 3747
9.0%
a 3553
8.6%
c 3270
 
7.9%
2022
 
4.9%
K 2018
 
4.9%
A 2018
 
4.9%
k 1982
 
4.8%
Other values (14) 3995
9.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41510
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 8726
21.0%
g 5365
12.9%
/ 4814
11.6%
l 3747
9.0%
a 3553
8.6%
c 3270
 
7.9%
2022
 
4.9%
K 2018
 
4.9%
A 2018
 
4.9%
k 1982
 
4.8%
Other values (14) 3995
9.6%

Väärtuse ühik
Categorical

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)0.2%
Missing33705
Missing (%)72.1%
Memory size365.4 KiB
a
3553 
m
2155 
cm
2155 
mg/l
1661 
cmol+/kg KA
918 
Other values (18)
2614 

Length

Max length11
Median length10
Mean length3.1981464
Min length1

Characters and Unicode

Total characters41755
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowmg/l
2nd rowµg/l
3rd rowµg/l
4th rowµg/l
5th rowmg/l

Common Values

ValueCountFrequency (%)
a 3553
 
7.6%
m 2155
 
4.6%
cm 2155
 
4.6%
mg/l 1661
 
3.6%
cmol+/kg KA 918
 
2.0%
mg/kg KA 806
 
1.7%
mgN/l 398
 
0.9%
mgS/l 199
 
0.4%
µS/cm 197
 
0.4%
µekv/l 171
 
0.4%
Other values (13) 843
 
1.8%
(Missing) 33705
72.1%

Length

2024-09-13T18:32:05.174576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a 3553
23.6%
m 2155
14.3%
cm 2155
14.3%
ka 2018
13.4%
mg/l 1661
11.0%
cmol+/kg 918
 
6.1%
mg/kg 806
 
5.3%
mgn/l 398
 
2.6%
mgs/l 199
 
1.3%
µs/cm 197
 
1.3%
Other values (13) 1018
 
6.8%

Most occurring characters

ValueCountFrequency (%)
m 9079
21.7%
g 5365
12.8%
/ 4814
11.5%
l 3747
9.0%
a 3553
 
8.5%
c 3270
 
7.8%
2022
 
4.8%
K 2018
 
4.8%
A 2018
 
4.8%
k 1994
 
4.8%
Other values (14) 3875
9.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41755
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 9079
21.7%
g 5365
12.8%
/ 4814
11.5%
l 3747
9.0%
a 3553
 
8.5%
c 3270
 
7.8%
2022
 
4.8%
K 2018
 
4.8%
A 2018
 
4.8%
k 1994
 
4.8%
Other values (14) 3875
9.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41755
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 9079
21.7%
g 5365
12.8%
/ 4814
11.5%
l 3747
9.0%
a 3553
 
8.5%
c 3270
 
7.8%
2022
 
4.8%
K 2018
 
4.8%
A 2018
 
4.8%
k 1994
 
4.8%
Other values (14) 3875
9.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41755
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 9079
21.7%
g 5365
12.8%
/ 4814
11.5%
l 3747
9.0%
a 3553
 
8.5%
c 3270
 
7.8%
2022
 
4.8%
K 2018
 
4.8%
A 2018
 
4.8%
k 1994
 
4.8%
Other values (14) 3875
9.3%

Väärtus (muud)
Text

MISSING 

Distinct159
Distinct (%)0.5%
Missing14829
Missing (%)31.7%
Memory size365.4 KiB
2024-09-13T18:32:05.273482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length81
Median length52
Mean length17.926281
Min length4

Characters and Unicode

Total characters572422
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)< 0.1%

Sample

1st rowLoamy sand
2nd rowSand
3rd rowLoamy sand
4th rowLoamy sand
5th rowLoamy sand
ValueCountFrequency (%)
puu 3751
 
4.7%
ja 3572
 
4.5%
võra 2570
 
3.2%
elus 2416
 
3.0%
eelmise 2407
 
3.0%
inventuuri 2407
 
3.0%
käigus 2407
 
3.0%
hinnatud 2368
 
3.0%
käesoleva 2368
 
3.0%
terve 1927
 
2.4%
Other values (248) 53508
67.1%
2024-09-13T18:32:05.508137image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 48729
 
8.5%
a 48224
 
8.4%
47769
 
8.3%
e 43375
 
7.6%
s 32637
 
5.7%
i 31577
 
5.5%
t 24561
 
4.3%
l 20982
 
3.7%
r 19550
 
3.4%
k 19522
 
3.4%
Other values (59) 235496
41.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 572422
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
u 48729
 
8.5%
a 48224
 
8.4%
47769
 
8.3%
e 43375
 
7.6%
s 32637
 
5.7%
i 31577
 
5.5%
t 24561
 
4.3%
l 20982
 
3.7%
r 19550
 
3.4%
k 19522
 
3.4%
Other values (59) 235496
41.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 572422
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
u 48729
 
8.5%
a 48224
 
8.4%
47769
 
8.3%
e 43375
 
7.6%
s 32637
 
5.7%
i 31577
 
5.5%
t 24561
 
4.3%
l 20982
 
3.7%
r 19550
 
3.4%
k 19522
 
3.4%
Other values (59) 235496
41.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 572422
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
u 48729
 
8.5%
a 48224
 
8.4%
47769
 
8.3%
e 43375
 
7.6%
s 32637
 
5.7%
i 31577
 
5.5%
t 24561
 
4.3%
l 20982
 
3.7%
r 19550
 
3.4%
k 19522
 
3.4%
Other values (59) 235496
41.1%

Väärtuse täpsustus
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size365.4 KiB
-
46761 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters140283
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row -
2nd row -
3rd row -
4th row -
5th row -

Common Values

ValueCountFrequency (%)
- 46761
100.0%

Length

2024-09-13T18:32:05.574888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:05.604903image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
46761
100.0%

Most occurring characters

ValueCountFrequency (%)
93522
66.7%
- 46761
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140283
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
93522
66.7%
- 46761
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140283
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
93522
66.7%
- 46761
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140283
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
93522
66.7%
- 46761
33.3%

Mõõtmata
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Viimane kommentaar väärtuse juures
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Analüüsimeetodi standard
Categorical

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)0.4%
Missing41403
Missing (%)88.5%
Memory size365.4 KiB
ISO 11260
918 
EVS-EN ISO 14911
576 
EVS-EN ISO 10304-1
542 
ISO 11466
508 
EVS-EN ISO 11885
385 
Other values (16)
2429 

Length

Max length22
Median length18
Mean length12.704367
Min length9

Characters and Unicode

Total characters68070
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEVS-EN ISO 17294-2
2nd rowEVS-EN ISO 17294-2
3rd rowEVS-EN ISO 17294-2
4th rowEVS-EN ISO 17294-2
5th rowISO 15681-2

Common Values

ValueCountFrequency (%)
ISO 11260 918
 
2.0%
EVS-EN ISO 14911 576
 
1.2%
EVS-EN ISO 10304-1 542
 
1.2%
ISO 11466 508
 
1.1%
EVS-EN ISO 11885 385
 
0.8%
EVS-EN ISO 17294-2 220
 
0.5%
ISO 10390 204
 
0.4%
EVS-EN ISO 11732 199
 
0.4%
ISO 29441 198
 
0.4%
EVS-EN 27888 197
 
0.4%
Other values (11) 1411
 
3.0%
(Missing) 41403
88.5%

Length

2024-09-13T18:32:05.641306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
iso 4904
36.9%
evs-en 2744
20.6%
11260 918
 
6.9%
14911 576
 
4.3%
10304-1 542
 
4.1%
11466 508
 
3.8%
11885 385
 
2.9%
17294-2 220
 
1.7%
10390 204
 
1.5%
11732 199
 
1.5%
Other values (15) 2090
15.7%

Most occurring characters

ValueCountFrequency (%)
1 9377
13.8%
7932
11.7%
S 7648
11.2%
E 5488
 
8.1%
I 4904
 
7.2%
O 4904
 
7.2%
- 3730
 
5.5%
4 2922
 
4.3%
0 2749
 
4.0%
N 2744
 
4.0%
Other values (12) 15672
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68070
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 9377
13.8%
7932
11.7%
S 7648
11.2%
E 5488
 
8.1%
I 4904
 
7.2%
O 4904
 
7.2%
- 3730
 
5.5%
4 2922
 
4.3%
0 2749
 
4.0%
N 2744
 
4.0%
Other values (12) 15672
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68070
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 9377
13.8%
7932
11.7%
S 7648
11.2%
E 5488
 
8.1%
I 4904
 
7.2%
O 4904
 
7.2%
- 3730
 
5.5%
4 2922
 
4.3%
0 2749
 
4.0%
N 2744
 
4.0%
Other values (12) 15672
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68070
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 9377
13.8%
7932
11.7%
S 7648
11.2%
E 5488
 
8.1%
I 4904
 
7.2%
O 4904
 
7.2%
- 3730
 
5.5%
4 2922
 
4.3%
0 2749
 
4.0%
N 2744
 
4.0%
Other values (12) 15672
23.0%

Analüüsimeetodi nimetus
Categorical

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)0.5%
Missing41343
Missing (%)88.4%
Memory size365.4 KiB
ISO 11260 & ISO 14254 (ICP-OES)
714 
EVS-EN ISO 14911 (IC)
576 
EVS-EN ISO 10304-1 (IC)
542 
ISO 11466 (ICP-OES)
508 
EVS-EN ISO 11885 (ICP-OES)
385 
Other values (20)
2693 

Length

Max length35
Median length28
Mean length22.98062
Min length14

Characters and Unicode

Total characters124509
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEVS-EN ISO 17294-2 (ICP-MS)
2nd rowEVS-EN ISO 17294-2 (ICP-MS)
3rd rowEVS-EN ISO 17294-2 (ICP-MS)
4th rowEVS-EN ISO 17294-2 (ICP-MS)
5th rowISO 15681-2 (UV-VIS)

Common Values

ValueCountFrequency (%)
ISO 11260 & ISO 14254 (ICP-OES) 714
 
1.5%
EVS-EN ISO 14911 (IC) 576
 
1.2%
EVS-EN ISO 10304-1 (IC) 542
 
1.2%
ISO 11466 (ICP-OES) 508
 
1.1%
EVS-EN ISO 11885 (ICP-OES) 385
 
0.8%
EVS-EN ISO 17294-2 (ICP-MS) 220
 
0.5%
ISO 10390 (EC) 204
 
0.4%
ISO 11260 & ISO 14254 (TITR) 204
 
0.4%
EVS-EN ISO 11732 (UV-VIS) 199
 
0.4%
ISO 29441 (UV-VIS) 198
 
0.4%
Other values (15) 1668
 
3.6%
(Missing) 41343
88.4%

Length

2024-09-13T18:32:05.685799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
iso 5822
26.3%
evs-en 2744
12.4%
icp-oes 1639
 
7.4%
ic 1118
 
5.1%
1022
 
4.6%
14254 918
 
4.1%
11260 918
 
4.1%
uv-vis 647
 
2.9%
ec 597
 
2.7%
14911 576
 
2.6%
Other values (34) 6127
27.7%

Most occurring characters

ValueCountFrequency (%)
16710
13.4%
S 11160
 
9.0%
I 10392
 
8.3%
1 10327
 
8.3%
E 7724
 
6.2%
O 7461
 
6.0%
- 6515
 
5.2%
( 5314
 
4.3%
) 5314
 
4.3%
4 4786
 
3.8%
Other values (42) 38806
31.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 124509
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
16710
13.4%
S 11160
 
9.0%
I 10392
 
8.3%
1 10327
 
8.3%
E 7724
 
6.2%
O 7461
 
6.0%
- 6515
 
5.2%
( 5314
 
4.3%
) 5314
 
4.3%
4 4786
 
3.8%
Other values (42) 38806
31.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 124509
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
16710
13.4%
S 11160
 
9.0%
I 10392
 
8.3%
1 10327
 
8.3%
E 7724
 
6.2%
O 7461
 
6.0%
- 6515
 
5.2%
( 5314
 
4.3%
) 5314
 
4.3%
4 4786
 
3.8%
Other values (42) 38806
31.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 124509
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
16710
13.4%
S 11160
 
9.0%
I 10392
 
8.3%
1 10327
 
8.3%
E 7724
 
6.2%
O 7461
 
6.0%
- 6515
 
5.2%
( 5314
 
4.3%
) 5314
 
4.3%
4 4786
 
3.8%
Other values (42) 38806
31.2%

Analüüsimeetodi tööjuhendi nr
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)5.0%
Missing46701
Missing (%)99.9%
Memory size365.4 KiB
STJnr.M/U91
32 
STJnr.M/U94A
24 
STJnr.M/U84-2A

Length

Max length14
Median length11
Mean length11.6
Min length11

Characters and Unicode

Total characters696
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSTJnr.M/U94A
2nd rowSTJnr.M/U84-2A
3rd rowSTJnr.M/U94A
4th rowSTJnr.M/U91
5th rowSTJnr.M/U94A

Common Values

ValueCountFrequency (%)
STJnr.M/U91 32
 
0.1%
STJnr.M/U94A 24
 
0.1%
STJnr.M/U84-2A 4
 
< 0.1%
(Missing) 46701
99.9%

Length

2024-09-13T18:32:05.728744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:05.767411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
stjnr.m/u91 32
53.3%
stjnr.m/u94a 24
40.0%
stjnr.m/u84-2a 4
 
6.7%

Most occurring characters

ValueCountFrequency (%)
S 60
8.6%
T 60
8.6%
J 60
8.6%
n 60
8.6%
r 60
8.6%
. 60
8.6%
M 60
8.6%
/ 60
8.6%
U 60
8.6%
9 56
8.0%
Other values (6) 100
14.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 696
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
S 60
8.6%
T 60
8.6%
J 60
8.6%
n 60
8.6%
r 60
8.6%
. 60
8.6%
M 60
8.6%
/ 60
8.6%
U 60
8.6%
9 56
8.0%
Other values (6) 100
14.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 696
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
S 60
8.6%
T 60
8.6%
J 60
8.6%
n 60
8.6%
r 60
8.6%
. 60
8.6%
M 60
8.6%
/ 60
8.6%
U 60
8.6%
9 56
8.0%
Other values (6) 100
14.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 696
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
S 60
8.6%
T 60
8.6%
J 60
8.6%
n 60
8.6%
r 60
8.6%
. 60
8.6%
M 60
8.6%
/ 60
8.6%
U 60
8.6%
9 56
8.0%
Other values (6) 100
14.4%

Analüüsimeetodi allikas
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)3.1%
Missing46729
Missing (%)99.9%
Memory size365.4 KiB
Vee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga.
32 

Length

Max length104
Median length104
Mean length104
Min length104

Characters and Unicode

Total characters3328
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga.
2nd rowVee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga.
3rd rowVee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga.
4th rowVee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga.
5th rowVee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga.

Common Values

ValueCountFrequency (%)
Vee,muda ja settee metallisisalduste määramine induktiivsisestunud plasma aatomemissioonspektromeetriga. 32
 
0.1%
(Missing) 46729
99.9%

Length

2024-09-13T18:32:05.807076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:05.841464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
vee,muda 32
12.5%
ja 32
12.5%
settee 32
12.5%
metallisisalduste 32
12.5%
määramine 32
12.5%
induktiivsisestunud 32
12.5%
plasma 32
12.5%
aatomemissioonspektromeetriga 32
12.5%

Most occurring characters

ValueCountFrequency (%)
e 416
12.5%
s 352
10.6%
i 320
9.6%
a 320
9.6%
t 288
 
8.7%
m 256
 
7.7%
224
 
6.7%
u 160
 
4.8%
l 128
 
3.8%
n 128
 
3.8%
Other values (12) 736
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3328
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 416
12.5%
s 352
10.6%
i 320
9.6%
a 320
9.6%
t 288
 
8.7%
m 256
 
7.7%
224
 
6.7%
u 160
 
4.8%
l 128
 
3.8%
n 128
 
3.8%
Other values (12) 736
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3328
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 416
12.5%
s 352
10.6%
i 320
9.6%
a 320
9.6%
t 288
 
8.7%
m 256
 
7.7%
224
 
6.7%
u 160
 
4.8%
l 128
 
3.8%
n 128
 
3.8%
Other values (12) 736
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3328
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 416
12.5%
s 352
10.6%
i 320
9.6%
a 320
9.6%
t 288
 
8.7%
m 256
 
7.7%
224
 
6.7%
u 160
 
4.8%
l 128
 
3.8%
n 128
 
3.8%
Other values (12) 736
22.1%

Meetodi täpsustus
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46761
Missing (%)100.0%
Memory size365.4 KiB

Mullaproov
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing44503
Missing (%)95.2%
Memory size365.4 KiB
Kihist
2258 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters13548
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKihist
2nd rowKihist
3rd rowKihist
4th rowKihist
5th rowKihist

Common Values

ValueCountFrequency (%)
Kihist 2258
 
4.8%
(Missing) 44503
95.2%

Length

2024-09-13T18:32:05.878674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-13T18:32:05.908636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
kihist 2258
100.0%

Most occurring characters

ValueCountFrequency (%)
i 4516
33.3%
K 2258
16.7%
h 2258
16.7%
s 2258
16.7%
t 2258
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13548
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 4516
33.3%
K 2258
16.7%
h 2258
16.7%
s 2258
16.7%
t 2258
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13548
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 4516
33.3%
K 2258
16.7%
h 2258
16.7%
s 2258
16.7%
t 2258
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13548
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 4516
33.3%
K 2258
16.7%
h 2258
16.7%
s 2258
16.7%
t 2258
16.7%

Mullahorisont
Categorical

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)0.7%
Missing44503
Missing (%)95.2%
Memory size365.4 KiB
M51
420 
M05
409 
M12
336 
OF
260 
OH
118 
Other values (10)
715 

Length

Max length3
Median length3
Mean length2.7909655
Min length2

Characters and Unicode

Total characters6302
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM05
2nd rowM05
3rd rowM05
4th rowM05
5th rowM05

Common Values

ValueCountFrequency (%)
M51 420
 
0.9%
M05 409
 
0.9%
M12 336
 
0.7%
OF 260
 
0.6%
OH 118
 
0.3%
H48 99
 
0.2%
H24 96
 
0.2%
H01 96
 
0.2%
H12 96
 
0.2%
M24 84
 
0.2%
Other values (5) 244
 
0.5%
(Missing) 44503
95.2%

Length

2024-09-13T18:32:05.947642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
m51 420
18.6%
m05 409
18.1%
m12 336
14.9%
of 260
11.5%
oh 118
 
5.2%
h48 99
 
4.4%
h24 96
 
4.3%
h01 96
 
4.3%
h12 96
 
4.3%
m24 84
 
3.7%
Other values (5) 244
10.8%

Most occurring characters

ValueCountFrequency (%)
M 1329
21.1%
1 948
15.0%
5 829
13.2%
H 646
10.3%
2 612
9.7%
0 505
 
8.0%
O 401
 
6.4%
F 377
 
6.0%
4 359
 
5.7%
8 179
 
2.8%
Other values (2) 117
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6302
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
M 1329
21.1%
1 948
15.0%
5 829
13.2%
H 646
10.3%
2 612
9.7%
0 505
 
8.0%
O 401
 
6.4%
F 377
 
6.0%
4 359
 
5.7%
8 179
 
2.8%
Other values (2) 117
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6302
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
M 1329
21.1%
1 948
15.0%
5 829
13.2%
H 646
10.3%
2 612
9.7%
0 505
 
8.0%
O 401
 
6.4%
F 377
 
6.0%
4 359
 
5.7%
8 179
 
2.8%
Other values (2) 117
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6302
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
M 1329
21.1%
1 948
15.0%
5 829
13.2%
H 646
10.3%
2 612
9.7%
0 505
 
8.0%
O 401
 
6.4%
F 377
 
6.0%
4 359
 
5.7%
8 179
 
2.8%
Other values (2) 117
 
1.9%

Mullaproovi sügavus
Categorical

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)1.0%
Missing44503
Missing (%)95.2%
Memory size365.4 KiB
10.0 - 20.0
432 
5.0 - 10.0
420 
0.0 - 5.0
409 
20.0 - 40.0
180 
40.0 - 80.0
179 
Other values (17)
638 

Length

Max length13
Median length12
Mean length10.367582
Min length9

Characters and Unicode

Total characters23410
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0 - 5.0
2nd row0.0 - 5.0
3rd row0.0 - 5.0
4th row0.0 - 5.0
5th row0.0 - 5.0

Common Values

ValueCountFrequency (%)
10.0 - 20.0 432
 
0.9%
5.0 - 10.0 420
 
0.9%
0.0 - 5.0 409
 
0.9%
20.0 - 40.0 180
 
0.4%
40.0 - 80.0 179
 
0.4%
0.0 - 10.0 96
 
0.2%
-1.0 - 0.0 93
 
0.2%
-3.0 - 0.0 70
 
0.1%
-6.0 - 0.0 47
 
0.1%
-4.0 - 0.0 47
 
0.1%
Other values (12) 285
 
0.6%
(Missing) 44503
95.2%

Length

2024-09-13T18:32:05.993820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2258
33.3%
10.0 948
14.0%
5.0 877
 
12.9%
0.0 811
 
12.0%
20.0 612
 
9.0%
40.0 359
 
5.3%
80.0 179
 
2.6%
6.0 142
 
2.1%
1.0 140
 
2.1%
3.0 117
 
1.7%
Other values (9) 331
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 7425
31.7%
. 4516
19.3%
4516
19.3%
- 3036
13.0%
1 1346
 
5.7%
5 900
 
3.8%
2 660
 
2.8%
4 406
 
1.7%
8 226
 
1.0%
6 190
 
0.8%
Other values (2) 189
 
0.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23410
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 7425
31.7%
. 4516
19.3%
4516
19.3%
- 3036
13.0%
1 1346
 
5.7%
5 900
 
3.8%
2 660
 
2.8%
4 406
 
1.7%
8 226
 
1.0%
6 190
 
0.8%
Other values (2) 189
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23410
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 7425
31.7%
. 4516
19.3%
4516
19.3%
- 3036
13.0%
1 1346
 
5.7%
5 900
 
3.8%
2 660
 
2.8%
4 406
 
1.7%
8 226
 
1.0%
6 190
 
0.8%
Other values (2) 189
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23410
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 7425
31.7%
. 4516
19.3%
4516
19.3%
- 3036
13.0%
1 1346
 
5.7%
5 900
 
3.8%
2 660
 
2.8%
4 406
 
1.7%
8 226
 
1.0%
6 190
 
0.8%
Other values (2) 189
 
0.8%

Interactions

2024-09-13T18:31:59.540139image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:57.789465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.129172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.408011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.690403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.970517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.281100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.577243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:57.839062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.167685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.443966image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.729871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.007546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.317720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.616856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:57.887102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.210062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.484963image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.772965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.047515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.357087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.653933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:57.927467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.248721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.520344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.812339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.084025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.393897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.694180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:57.992423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.290596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.560670image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.853845image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.170525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.433173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.731811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.050640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.329891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.597378image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.893173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.206547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.470565image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.767336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.091349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.367550image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.632611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:58.932081image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.243306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-13T18:31:59.504394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-09-13T18:32:06.036896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Analüüsi aegAnalüüsimeetodi standardAnalüüsimeetodi nimetusAnalüüsimeetodi tööjuhendi nrArvväärtusLiik/takson (est)Liik/takson (lad)MullahorisontMullaproovi sügavusMõõdetud arvväärtusMõõdetud väärtuse ühikNäitaja gruppNäitaja lühendProovi liikProovimaatriksProoviprotokolli / vaatluslehe nrProovivõtja / vaatlejadProovivõtumeetodi nimetusSeirekoha staatusSeirekoha x L-EST97Seirekoha y L-EST97Sisestatud liik (lad)Sisestatud x L-EST97Sisestatud y L-EST97Vaatleja EELIS IDVäärtuse ühik
Analüüsi aeg1.0000.2370.2370.0000.0550.0000.0000.6680.5710.0000.2250.1900.2141.0001.0001.0001.0001.0001.0000.2850.1560.0000.2850.1560.0000.159
Analüüsimeetodi standard0.2371.0001.0000.0000.2151.0001.0000.2200.1250.0670.8700.8750.8120.9950.7310.3790.6290.4770.2530.3060.3151.0000.3060.3150.0000.840
Analüüsimeetodi nimetus0.2371.0001.0001.0000.2141.0001.0000.2040.1110.0610.8790.9350.8090.9950.9030.3800.9030.5890.3960.3170.3191.0000.3170.3190.0000.826
Analüüsimeetodi tööjuhendi nr0.0000.0001.0001.0001.0001.0001.0000.0000.0001.0000.6440.8630.8891.0001.0001.0001.0000.0001.0001.0001.0001.0001.0001.0000.0000.595
Arvväärtus0.0550.2150.2141.0001.0001.0001.0000.0750.0590.9620.1380.0620.2020.1240.064-0.1380.0300.0310.0000.006-0.0601.0000.006-0.0601.0000.082
Liik/takson (est)0.0001.0001.0001.0001.0001.0001.0000.0000.0001.0000.0530.0221.0001.0001.0001.0000.1991.0000.2270.1930.1941.0000.1930.1940.2290.052
Liik/takson (lad)0.0001.0001.0001.0001.0001.0001.0000.0000.0001.0000.0530.0221.0001.0001.0001.0000.1991.0000.2270.1930.1941.0000.1930.1940.2290.052
Mullahorisont0.6680.2200.2040.0000.0750.0000.0001.0000.8330.0600.2760.2350.1421.0001.0001.0001.0001.0001.0000.2670.2280.0000.2670.2280.0000.214
Mullaproovi sügavus0.5710.1250.1110.0000.0590.0000.0000.8331.0000.0530.1620.1330.0001.0001.0001.0001.0001.0001.0000.3980.3790.0000.3980.3790.0000.142
Mõõdetud arvväärtus0.0000.0670.0611.0000.9621.0001.0000.0600.0531.0000.0830.0420.1000.0750.035-0.0800.0180.0000.0000.018-0.0501.0000.018-0.0501.0000.062
Mõõdetud väärtuse ühik0.2250.8700.8790.6440.1380.0530.0530.2760.1620.0831.0000.9420.7900.9980.8580.4660.6510.5650.4790.2490.2170.0530.2490.2170.0170.948
Näitaja grupp0.1900.8750.9350.8630.0620.0220.0220.2350.1330.0420.9421.0000.6890.9990.8410.3060.6010.5500.3240.1320.1170.0220.1320.1170.0000.873
Näitaja lühend0.2140.8120.8090.8890.2021.0001.0000.1420.0000.1000.7900.6891.0000.8340.6260.2930.6180.4040.2730.2510.2561.0000.2510.2560.0000.732
Proovi liik1.0000.9950.9951.0000.1241.0001.0001.0001.0000.0750.9980.9990.8341.0001.0000.5150.6480.9990.2740.7960.7221.0000.7960.7220.0000.993
Proovimaatriks1.0000.7310.9031.0000.0641.0001.0001.0001.0000.0350.8580.8410.6261.0001.0000.3281.0001.0000.4170.5010.4231.0000.5010.4230.0000.823
Prooviprotokolli / vaatluslehe nr1.0000.3790.3801.000-0.1381.0001.0001.0001.000-0.0800.4660.3060.2930.5150.3281.0000.1780.3270.0970.0250.5401.0000.0250.5400.0000.466
Proovivõtja / vaatlejad1.0000.6290.9031.0000.0300.1990.1991.0001.0000.0180.6510.6010.6180.6481.0000.1781.0001.0000.3430.4220.3890.1990.4220.3891.0000.625
Proovivõtumeetodi nimetus1.0000.4770.5890.0000.0311.0001.0001.0001.0000.0000.5650.5500.4040.9991.0000.3271.0001.0000.4170.3270.3261.0000.3270.3260.0000.542
Seirekoha staatus1.0000.2530.3961.0000.0000.2270.2271.0001.0000.0000.4790.3240.2730.2740.4170.0970.3430.4171.0000.4960.3020.2270.4960.3020.2080.456
Seirekoha x L-EST970.2850.3060.3171.0000.0060.1930.1930.2670.3980.0180.2490.1320.2510.7960.5010.0250.4220.3270.4961.000-0.0910.1931.000-0.0910.5650.247
Seirekoha y L-EST970.1560.3150.3191.000-0.0600.1940.1940.2280.379-0.0500.2170.1170.2560.7220.4230.5400.3890.3260.302-0.0911.0000.194-0.0911.0000.4910.216
Sisestatud liik (lad)0.0001.0001.0001.0001.0001.0001.0000.0000.0001.0000.0530.0221.0001.0001.0001.0000.1991.0000.2270.1930.1941.0000.1930.1940.2290.052
Sisestatud x L-EST970.2850.3060.3171.0000.0060.1930.1930.2670.3980.0180.2490.1320.2510.7960.5010.0250.4220.3270.4961.000-0.0910.1931.000-0.0910.5650.247
Sisestatud y L-EST970.1560.3150.3191.000-0.0600.1940.1940.2280.379-0.0500.2170.1170.2560.7220.4230.5400.3890.3260.302-0.0911.0000.194-0.0911.0000.4910.216
Vaatleja EELIS ID0.0000.0000.0000.0001.0000.2290.2290.0000.0001.0000.0170.0000.0000.0000.0000.0001.0000.0000.2080.5650.4910.2290.5650.4911.0000.017
Väärtuse ühik0.1590.8400.8260.5950.0820.0520.0520.2140.1420.0620.9480.8730.7320.9930.8230.4660.6250.5420.4560.2470.2160.0520.2470.2160.0171.000

Missing values

2024-09-13T18:31:59.899730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-13T18:32:00.230452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-09-13T18:32:00.912165image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

ProgrammSeiretöö nimetusVastutav partnerVastutav isikSeirekoha KKRSeirekoha nimiJahipiirkonna peamine maakondSeirekoha staatusSeirekoha x L-EST97Seirekoha y L-EST97Sisestatud x L-EST97Sisestatud y L-EST97Seotud seirejaama KKRSeotud seirejaama nimiSeotud seirejaama x L-EST97Seotud seirejaama y L-EST97Veekogu KKRVeekogu nimiSeirekogumi koodSeirekogumi nimiVeekogumi tüüpPuuraugu KKRPõhjaveekihtNäitaja nimetusNäitaja lühendNäitaja gruppAlamgruppLiik/takson (est)Liik/takson (lad)Sisestatud liik (lad)Isendi nrLiigi kategooriaProovi / vaatluse koodProoviprotokolli / vaatluslehe nrProovi / vaatluse kirjeldusProovivõtja / vaatlejadVaatleja EELIS IDLabori dok. nrAnalüüsi aegAnalüüsi teostajaSeireaegSeireaja lõppSeireaja täpsustusSeotud vaatlusProovi sügavus (m)VaatlusgruppProovivõtumeetodi nimetusProovivõtumeetodi standardProovivõtumeetodi proovivõtu sügavusProovi liikProovivõtuseadeProovimaatriksPüügivahendi silmasuurusOsa saagistPüügireisi nrTraali tõmbe nrTraali tõmbe kestvusKordsusSeireala pindalaVäärtuse staatusErimärkMõõdetud arvväärtusMõõdetud määramistäpsusMääramispiirMõõtemääramatusMääramatuse kommentaarArvväärtusMõõdetud väärtuse ühikVäärtuse ühikVäärtus (muud)Väärtuse täpsustusMõõtmataViimane kommentaar väärtuse juuresAnalüüsimeetodi standardAnalüüsimeetodi nimetusAnalüüsimeetodi tööjuhendi nrAnalüüsimeetodi allikasMeetodi täpsustusMullaproovMullahorisontMullaproovi sügavus
0C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNKaadmiumCdOhtlikud ained veesMetallidNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.059NaNNaNNaNNaN0.000059µg/lmg/lNaN-NaNNaNEVS-EN ISO 17294-2EVS-EN ISO 17294-2 (ICP-MS)NaNNaNNaNNaNNaNNaN
1C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNPliiPbOhtlikud ained veesMetallidNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN3.000NaNNaNNaNNaN3.000000µg/lµg/lNaN-NaNNaNEVS-EN ISO 17294-2EVS-EN ISO 17294-2 (ICP-MS)NaNNaNNaNNaNNaNNaN
2C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVaskCuOhtlikud ained veesMetallidNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN12.000NaNNaNNaNNaN12.000000µg/lµg/lNaN-NaNNaNEVS-EN ISO 17294-2EVS-EN ISO 17294-2 (ICP-MS)NaNNaNNaNNaNNaNNaN
3C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNTsinkZnOhtlikud ained veesMetallidNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN25.000NaNNaNNaNNaN25.000000µg/lµg/lNaN-NaNNaNEVS-EN ISO 17294-2EVS-EN ISO 17294-2 (ICP-MS)NaNNaNNaNNaNNaNNaN
4C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNÜldfosforPüldFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.130NaNNaNNaNNaN0.130000mg/lmg/lNaN-NaNNaNISO 15681-2ISO 15681-2 (UV-VIS)NaNNaNNaNNaNNaNNaN
5C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMangaanMnFüüsikalis-keemilised näitajad veesMetallidNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtiv<0.010NaNNaNNaNNaN0.010000mg/lmg/lNaN-NaNNaNEVS-EN ISO 11885EVS-EN ISO 11885 (ICP-OES)NaNNaNNaNNaNNaNNaN
6C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNRaudFeFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.630NaNNaNNaNNaN0.630000mg/lmg/lNaN-NaNNaNEVS-EN ISO 11885EVS-EN ISO 11885 (ICP-OES)NaNNaNNaNNaNNaNNaN
7C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNÜldlämmastikNüldFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN1.000NaNNaNNaNNaN1.000000mg/lmg/lNaN-NaNNaNISO 29441ISO 29441 (UV-VIS)NaNNaNNaNNaNNaNNaN
8C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNKloriidClFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN1.600NaNNaNNaNNaN1.600000mg/lmg/lNaN-NaNNaNEVS-EN ISO 10304-1EVS-EN ISO 10304-1 (IC)NaNNaNNaNNaNNaNNaN
9C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA7863000II-2 Vihula (Lääne-Virumaa metskond kvartal VU003 eraldis 12)NaNKehtiv6.606457e+06620491.33036606457.21620491.3303NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAmmooniumlämmastik (NH4N)NH4NFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP0000790341546.0NaNVladislav ApuhtinNaNNaNNaNNaN2021-11-012022-05-02NaNNaNNaNNaNMullavee proovide võtmine lüsimeetrite abilNaNNaNKeskmistatud proovNaNMullavesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.110NaNNaNNaNNaN0.110000mgN/lmgN/lNaN-NaNNaNEVS-EN ISO 11732EVS-EN ISO 11732 (UV-VIS)NaNNaNNaNNaNNaNNaN
ProgrammSeiretöö nimetusVastutav partnerVastutav isikSeirekoha KKRSeirekoha nimiJahipiirkonna peamine maakondSeirekoha staatusSeirekoha x L-EST97Seirekoha y L-EST97Sisestatud x L-EST97Sisestatud y L-EST97Seotud seirejaama KKRSeotud seirejaama nimiSeotud seirejaama x L-EST97Seotud seirejaama y L-EST97Veekogu KKRVeekogu nimiSeirekogumi koodSeirekogumi nimiVeekogumi tüüpPuuraugu KKRPõhjaveekihtNäitaja nimetusNäitaja lühendNäitaja gruppAlamgruppLiik/takson (est)Liik/takson (lad)Sisestatud liik (lad)Isendi nrLiigi kategooriaProovi / vaatluse koodProoviprotokolli / vaatluslehe nrProovi / vaatluse kirjeldusProovivõtja / vaatlejadVaatleja EELIS IDLabori dok. nrAnalüüsi aegAnalüüsi teostajaSeireaegSeireaja lõppSeireaja täpsustusSeotud vaatlusProovi sügavus (m)VaatlusgruppProovivõtumeetodi nimetusProovivõtumeetodi standardProovivõtumeetodi proovivõtu sügavusProovi liikProovivõtuseadeProovimaatriksPüügivahendi silmasuurusOsa saagistPüügireisi nrTraali tõmbe nrTraali tõmbe kestvusKordsusSeireala pindalaVäärtuse staatusErimärkMõõdetud arvväärtusMõõdetud määramistäpsusMääramispiirMõõtemääramatusMääramatuse kommentaarArvväärtusMõõdetud väärtuse ühikVäärtuse ühikVäärtus (muud)Väärtuse täpsustusMõõtmataViimane kommentaar väärtuse juuresAnalüüsimeetodi standardAnalüüsimeetodi nimetusAnalüüsimeetodi tööjuhendi nrAnalüüsimeetodi allikasMeetodi täpsustusMullaproovMullahorisontMullaproovi sügavus
46751C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNitraatlämmastik (NO3N)NO3NFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.220NaNNaNNaNNaN0.220mgN/lmgN/lNaN-NaNNaNEVS-EN ISO 10304-1EVS-EN ISO 10304-1 (IC)NaNNaNNaNNaNNaNNaN
46752C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNKloriidClFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.480NaNNaNNaNNaN0.480mg/lmg/lNaN-NaNNaNEVS-EN ISO 10304-1EVS-EN ISO 10304-1 (IC)NaNNaNNaNNaNNaNNaN
46753C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAmmooniumlämmastik (NH4N)NH4NFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.130NaNNaNNaNNaN0.130mgN/lmgN/lNaN-NaNNaNEVS-EN ISO 11732EVS-EN ISO 11732 (UV-VIS)NaNNaNNaNNaNNaNNaN
46754C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaatriumNaFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.290NaNNaNNaNNaN0.290mg/lmg/lNaN-NaNNaNEVS-EN ISO 14911EVS-EN ISO 14911 (IC)NaNNaNNaNNaNNaNNaN
46755C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMagneesiumMgFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.047NaNNaNNaNNaN0.047mg/lmg/lNaN-NaNNaNEVS-EN ISO 14911EVS-EN ISO 14911 (IC)NaNNaNNaNNaNNaNNaN
46756C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNKaltsiumCaFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.600NaNNaNNaNNaN0.600mg/lmg/lNaN-NaNNaNEVS-EN ISO 14911EVS-EN ISO 14911 (IC)NaNNaNNaNNaNNaNNaN
46757C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNKaaliumKFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN0.360NaNNaNNaNNaN0.360mg/lmg/lNaN-NaNNaNEVS-EN ISO 14911EVS-EN ISO 14911 (IC)NaNNaNNaNNaNNaNNaN
46758C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNElektrijuhtivusNaNFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN9.500NaNNaNNaNNaN9.500µS/cmµS/cmNaN-NaNNaNEVS-EN 27888EVS-EN 27888 (EC)NaNNaNNaNNaNNaNNaN
46759C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNpHpHFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN5.400NaNNaNNaNNaN5.400NaNNaNNaN-NaNNaNISO 10523ISO 10523 (EC)NaNNaNNaNNaNNaNNaN
46760C1 Võra seisundi ja kahjustuste hindamine I aste, CC Võra seisundi ja kahjustuste hindamine II aste, DP Sademete seire ja saastekoormus sademetest, FO Okaste ja lehtede seire, LF Varise seire, Metsaseire, SO Metsamulla seire, SS Mullavee seireMetsaseire 2022 aKeskkonnaagentuurVladislav ApuhtinSJA1531000II-7 Karula (Võrumaa metskond kvartal AS159 eraldised 6, 7)NaNKehtiv6.398200e+06650083.47516398199.9650083.4751NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSademete hulkNaNFüüsikalis-keemilised näitajad veesNaNNaNNaNNaNNaNNaNP000079011918.0NaNTeadmataNaNNaNNaNNaN2022-11-302023-01-03NaNNaNNaNNaNProovide võtmine sademeteveest (võravesi)NaNNaNKeskmistatud proovNaNSademete vesiNaNNaNNaNNaNNaNNaNNaNKehtivNaN79.000NaNNaNNaNNaN79.000mmmmNaN-NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN